According to Coinbase analysts’ State of Crypto Q2 2025 report, the share of small and medium-sized businesses (SMBs) using cryptocurrency has doubled in a year: 34% of companies now work with digital assets (up from 17% in 2024) Stablecoin usage jumped from 8% → 18% Businesses accepting or making crypto payments rose from 16% → 32% In short: crypto adoption isn’t “coming someday.” For a global SMB, stablecoins are basically wire transfers… minus the 3-day wait, minus the $40 fee, minus the headache. Businesses learned this the hard way: when you send a stablecoin, it lands in seconds, not “between Monday and maybe Thursday.” The real MVPs of crypto adoption are On/Off-Ramps - the tools that let businesses convert fiat → crypto → fiat without a PhD in DeFi. Some of the most widely used…  ( 7 min )

Good hosting isn’t just about servers, SSDs, or uptime — it’s also about support. Whether you're launching a client website, managing a high-traffic app, or running your own blog, the quality of a hosting provider’s customer support can make all the difference. InterServer is known for being one of the more straightforward hosting companies out there, but what does their customer support really look like? Here’s a breakdown of what users and developers can expect. InterServer’s support team is available around the clock. Instead of being routed through layers of automated chatbots, users often interact with real human technicians. Why this matters: Faster diagnosis of issues Clearer explanations Less frustration for beginners and advanced users alike For developers, getting help from someo…  ( 7 min )

The conversation around artificial intelligence is shifting from passive tools to active partners. By 2026, agentic AI will redefine how businesses operate and defend themselves against threats. These autonomous systems don't just follow commands; they understand goals, create plans, and execute complex tasks with minimal human input. This leap beyond traditional automation enables adaptive, context-aware responses at a scale previously unimaginable. For enterprise and cybersecurity leaders, understanding the coming key agentic AI trends for enterprise and cybersecurity 2026 isn't just about staying current—it's about strategic survival and gaining a decisive competitive edge. As we look toward 2026, the concept of AI is moving beyond chatbots and analytics engines. We are entering an era …  ( 13 min )

Your application must accept user‑uploaded video files (average size ≈ 150 MB, peak size ≈ 1 GB) and store them in Amazon S3. Requirements: Direct client upload (no server‑side proxy) with minimal latency. Server‑side validation of file type and size before the object becomes publicly accessible. Automatic virus scanning after upload. Retention policy: keep objects for 90 days, then archive to Glacier Deep Archive. Access control: only authenticated users can read their own files; no public read access. Design the S3 architecture and supporting AWS services to satisfy these constraints. Include the steps a client follows, the AWS resources you would configure (cost, latency, complexity). Client requests a pre‑signed PUT URL from your backend API (e.g., /upload-url?filename=video.m…  ( 8 min )

Things are finally moving again! 🚢 the Cloud Native Engineer newsletter is back in full swing after a quiet year. Here's what's been happening: ✨ Brand new logo that better represents what we're all about The cargo is loaded, and we're ready to sail into more technical deep dives, practical insights, and cloud-native goodness. Thanks for sticking with me during the quieter period. Exciting things ahead!  ( 6 min )

A simple case study on what works, what doesn’t, and what designers learned from it. The Liquid Glass UI trend has suddenly become the center of every design conversation. Apple introduced it with iOS 26, and the style spread fast. It looks soft, modern, and a little futuristic. But the real question is simple: Is it actually useful or just visually exciting? Let’s break it down with a real example and the core facts. Liquid Glass UI creates a frosted-glass feeling using blur, transparency, and depth. It looks like smooth layers floating over the background. Apple mostly uses it in navigation bars, panels, and overlays to separate content without adding heavy shadows. Many people compare it with glassmorphism, but they are not the same. Glassmorphism is broad and sometimes looks artificial…  ( 8 min )

Why Exchange Access Needs Protection Coinbase, Bybit, and Binance are three major players in the crypto industry with millions of users. But in 2025, they face new challenges: increased government control, blocks in various countries, DDoS attacks, and data leak risks. A VPN has ceased to be optional and become a critical tool for asset protection and stable trading. The key point: using a VPN to protect your connection to crypto exchanges is legal in most countries and recommended by security experts. Coinbase — exchange for beginners Learn more about VPN for Coinbase Bybit — derivatives platform Learn more about VPN for Bybit Binance — largest crypto exchange VPN provides access and protects API keys from interception. Learn more about VPN for Binance 1. Crypto traders in restricted co…  ( 8 min )

The Internet of Things (IoT) is one of those buzzwords that's everywhere, but how many of us truly understand the architecture, protocols, and practical implications? Today, I'm breaking down IoT from both a technical and practical perspective—whether you're a developer looking to build IoT solutions or just curious about how your smart devices actually work. 🎯 What We'll Cover IoT architecture and data flow Communication protocols (MQTT, CoAP, HTTP/HTTPS) Edge computing vs. cloud processing Security considerations for developers Real-world implementation examples APIs and integration patterns Future trends (5G, AI/ML integration) 🏗️ The Technical Architecture IoT systems typically follow a four-layer architecture: 1. Perception Layer (Sensors/Actuators) Data collection through sensors P…  ( 8 min )

Over the last week, I’ve had one of the most eye-opening learning experiences thanks to the Google x Kaggle 5-Day AI Agents Intensive. Going into the course, I had a very traditional understanding of Large Language Models: powerful tools that generate text, write code, summarize documents, and answer questions. By the end of the intensive, that view felt almost outdated. This post is my reflection on what I learned, the ideas that stuck with me, and the capstone project I built: a Market Sentiment Monitoring and Alert Agent. 🌟 The Turning Point: Understanding Tools + Reasoning The biggest “aha!” moment for me was understanding how agents use ReAct loops — the combination of Reasoning + Acting. Before the course, if I asked an LLM, “What’s the current market sentiment?” it would give a gen…  ( 8 min )

Before Submission articles plagarism check is mandatory it is the play critical role in the Publications...... Research Progress Techlonogy Plagiarisms  ( 5 min )

Artificial Intelligence is transforming the way software is designed, developed, and tested. For years, engineering teams have relied on manual processes, human created assertions, and extensive QA cycles to validate their products. Today, AI powered testing tools are changing that reality by accelerating test creation, improving accuracy, and enabling teams to validate complex workflows that traditional methods often fail to cover. As modern applications depend on distributed services, microservice based logic, and rapid delivery pipelines, the need for reliable automated testing has grown. AI is becoming a force multiplier, supporting developers and QA engineers through all stages of the testing lifecycle, from small units of logic to the full customer journey. Unit tests represent the b…  ( 8 min )

Choosing the right hosting provider can make or break a website — especially for small businesses, startups, and developers managing multiple client projects. InterServer is one of those underrated hosting platforms that consistently delivers strong performance, solid security, and honest pricing. But beyond features, what really proves a hosting provider’s value is what real businesses experience after switching. Here’s a breakdown of how different types of businesses have grown with InterServer — and what developers can learn from their success. Many small businesses struggle with slow sites, downtime, and confusing renewal fees on other hosting platforms. After switching to InterServer, business owners often report: Faster load times thanks to LiteSpeed and SSD storage Better uptime con…  ( 7 min )

I met Florian Enner a few times at Devoxx in Belgium, and each time he amazed me with his JavaFX demos! He is one of those rare developers who take JavaFX to the next level by adding 3D visualizations. About Florian Florian works on software libraries and applications that are aimed at simplifying development of robotic systems. For example, he has worked on an API for MATLAB that is capable of low-latency real-time control of high degree of freedom systems. It allows engineers without a strong background in computer science to develop sophisticated control algorithms without requiring knowledge of C/C++ or code generation. You can find him on: LinkedIn GitHub Talk at Devoxx BE 2025 YouTube Channel In the video, Florian shows some of the JavaFX applications he has created to visualize the movements of robots in a 3D environment and the measurements of sensors in charts capable of rendering millions of data points. Based on the same code, he has created desktop and mobile applications that can receive the UDP messages directly from the devices and render the same charts and 3D. He also demonstrates styling with AtlantaFX, the use of SceneBuilder, and how he compiles JavaFX views to native libraries so they can be integrated in C/C++ projects to visualize big amounts of data. 00:00 Who is Florian 01:53 Demo of the robot visualization application 04:06 Displaying large amounts of data in (scientific) charts Library: ChartFX 07:26 3D in JavaFX Library: FXyz3D FXyz Issue "Contributing 3D Canvas and improved CubeWorld?" Blog post: JavaFX 3D - A Look Back Through History & Some Experiments 09:41 Most challenging parts of the application 10:09 History of the layout 11:34 Design in SceneBuilder with includes to create components 13:40 Styling with AtlantaFX Library: AtlantaFX 15:04 Using the same UI on mobile devices 16:49 Why a desktop application? 17:29 More demos! 25:23 Demo videos on YouTube 27:23 Combining JavaFX as a C library in a C++ project Click here for more posts with JFX In Action videos.  ( 10 min )

Walk into a Target or Walmart these days and you'll notice something different. Fewer lines. More kiosks. Robots rolling down aisles scanning shelves. What felt like sci-fi five years ago is now just... Tuesday. The retail automation market hit $29 billion in 2024. By 2034? We're looking at nearly $72 billion. That's not hype—that's retailers voting with their wallets because automation actually works. Consider what's driving this shift. Automating a distribution center can double productivity while cutting labor needs in half. Fulfillment centers are seeing 60% cost reductions. Self-checkout alone is expected to handle 40% of all retail transactions globally by 2026. Those aren't incremental improvements. That's a fundamental rewiring of how stores operate. The labor shortage conversation…  ( 7 min )

Following the recent announcement of the retirement of the popular Kubernetes Ingress controller, Ingress-Nginx, it is advisable that administrators explore alternatives. While other controllers like Traefik, nginx-ingress, are still good options at the moment, it is clear the community is moving away from Ingress as Kubernetes have made it known that the API itself is no longer actively developed. Kubernetes is a popular cloud-native platform for deploying, scaling, and managing containerised applications. By default, applications deployed in a Kubernetes cluster are not exposed to the internet, so you need a way to make them accessible and a central way to route traffic to the specific services running in the cluster. This is the solution that Ingress provides. For years, Ingress has han…  ( 9 min )

You are building a public REST API that invokes a Go‑based Lambda function via API Gateway (REST API). The API must meet the following security requirements: Only authenticated clients with a JWT issued by a custom OAuth2 provider can call the endpoint. The Lambda function should have least‑privilege access: it must read from a specific DynamoDB table and write logs to CloudWatch, but nothing else. The API should enforce per‑method throttling (e.g., 100 RPS for GET, 20 RPS for POST) and protect against injection attacks. Describe the complete configuration you would apply—including API Gateway authorizer, IAM roles/policies, and any additional AWS services—to satisfy these requirements. Highlight any trade‑offs or operational considerations. Step Action Create a Lambda authorize…  ( 7 min )

This article was originally written by Serena Sensini in Italian and published on theRedCode. It was translated and reposted with her permission. In the world of software development, clear documentation and fast bug resolution through shared debugging are key factors for the success of any project, especially in teams working across multiple stacks with fast release cycles. Imagine, for simplicity, that you’re building an app to search for emojis using their Italian names (e.g. 😘 EN = Kiss, IT = Bacio). In other words, a system offering emoji filtering and suggestion features through APIs, paired with a dynamic interface and smooth user experience. This scenario highlights the tension between an agile workflow and typical obstacles: when application glitches or integration issues arise, …  ( 9 min )

We are welcoming you to our weekly digest! Here, we discuss the latest trends and advancements in account abstraction, chain abstraction and everything related, as well as bring some insights from Etherspot’s kitchen. The latest news we'll cover: Ethereum Raises Block Gas Limit to 60M Ahead of Fusaka Upgrade Ethereum Foundation Unveils Full Vision and Mechanics Behind EIL Arbitrum Publishes Unified Guidelines for ARBOS Upgrades on Orbit Chains Soneium and Sony Launch IRC App for On-Chain Fan Identity Please fasten your belts! Ethereum’s block gas limit has been increased from 45 million to 60 million, marking the highest capacity seen in about four years, a significant milestone for Layer-1 scalability just days before the scheduled Fusaka upgrade. The increase was triggered automatically …  ( 10 min )

I decided to stop using Twitter, but for my own content and supporting Ukraine against its barbarian invaders, I understood the contemporary media landscape was quite fragmented. I bet on Mastodon, Bluesky, and LinkedIn. My flow is the following: when I read a piece I find interesting, I schedule it for publication. The problem is that every social media platform has a different scheduler: Mastodon has the Mastodon scheduler, LinkedIn has an in-built feature, and Bluesky has... nothing. I had enough. Hence, I started building an application to schedule posts across multiple social media platforms. Details are irrelevant to this post. Suffice to say, modules are running in a Docker container on my Synology NAS at home. It's a .local name to access when I'm at home. However, I'll soon travel…  ( 8 min )

I'm excited to share Numla, a new open-source project I've been working on. It's a minimal, privacy-focused calculator notepad that lets you solve problems the way you think about them—using natural language. Traditional calculators are great for quick arithmetic, but they lack context. Spreadsheets are powerful but can be overkill for everyday tasks. I wanted something in between: a scratchpad where I could type out my thoughts and have the math happen automatically. Inspired by tools like Numi and Soulver, Numla combines a text editor with a powerful math engine. You can mix text and calculations freely, making it perfect for budgeting, unit conversions, or just quick back-of-the-napkin math. Forget about strict syntax. Just type what you mean: Rent: $1,200 Utilities: $150 Groceries: $400 sum → $1,750 Numla handles over 50 currencies with live exchange rates, plus unit conversions for length, temperature, and more. $500 in EUR → € 460 100 fahrenheit in celsius → 37.78 celsius 5 km to miles → 3.1 miles In an era of cloud-everything, Numla takes a different approach. Your data never leaves your device. Everything is stored locally in your browser using localStorage. There are no servers, no accounts, and absolutely no tracking. Variables: Define constants like $rate = 75 and use them later. Date Math: Calculate deadlines easily (today + 2 weeks). Timezones: Check the time across the globe (time in Tokyo). Spotlight Search: Press Cmd+K to instantly jump between notes. Focus Mode: Hide the UI to focus purely on your numbers. Numla is built with Vanilla JavaScript and Tailwind CSS, ensuring it remains lightweight and fast. It leverages powerful libraries like mathjs for calculation and chrono-node for natural language date parsing. Numla is open source and available on GitHub. I'd love for you to give it a try and let me know what you think! 👉 View on GitHub  ( 7 min )

Learn how to implement a centralized mutation system for multi-tenant SaaS using Next.js Server Actions. Explore RBAC, multi-subdomain handling, cache revalidation, and scalable API patterns for secure, maintainable backend architecture. A. Architecture Overview In large SaaS projects, handling server actions individually in every module creates: 1- Code duplication The centralized mutation engine consolidates all API mutations into one reusable function. It handles authentication, authorization, shop/subdomain context, request payloads, fetch execution, and cache revalidation. B. Core Utilities logger – Structured logging for debugging and monitoring. resolveModelName – Converts route names like saved-attribute → saved_attribute. hasPermission & parseAccessRules – Implements RBAC to check…  ( 9 min )

WTF is this: Deciphering the Mystery of Intelligent Document Processing Ah, documents – the ultimate party crashers of the digital age. They just won't quit, will they? From receipts to invoices, contracts to reports, our lives are filled with an endless stream of paperwork. But, what if I told you there's a way to make sense of it all? Enter Intelligent Document Processing (IDP), the superhero of the tech world that's here to save the day, one document at a time. In simple terms, Intelligent Document Processing is a technology that uses artificial intelligence (AI) and machine learning (ML) to automatically extract, categorize, and process data from various types of documents. Think of it like a super-smart, hyper-efficient clerk who can read, understand, and make sense of even the most c…  ( 12 min )

From the offical blog In the past, creating a website required significant capital and professional coding assistance. Today, with the proliferation of advanced website builders and Content Management Systems (CMS), even someone with zero coding experience can launch a professional site. While professional agencies may charge thousands, a DIY approach can effectively bring your monthly startup cost down to the price of a cup of coffee. Before diving into the steps, you must understand the three non-negotiable elements every site needs: Domain Name: Your address on the internet (e.g., .com). Website Builder/CMS: The software used to build the site (e.g., WordPress, Squarespace). Web Hosting: The digital “land” where your website files are stored (essential for self-hosted platforms like …  ( 14 min )

We previously published an article titled “Unlocking Seamless & Secure Access: Introducing Generalized OIDC Authentication in Apache DolphinScheduler”, which drew significant attention both within and beyond the community. The piece highlighted one of the standout achievements from Google Summer of Code 2025 — Aryan Kumar, a student from the Punjab Engineering College in India, implemented a brand-new universal OpenID Connect (OIDC) authentication mechanism for Apache DolphinScheduler. This new capability not only streamlines the entire user access process for DolphinScheduler but also greatly enhances the system’s security posture, making DolphinScheduler better suited for diverse enterprise-level scenarios. Notably, Aryan’s implementation makes clever use of the Nimbus SDK and takes data…  ( 14 min )

We need to talk about the "Micro-Interruption" and what it actually does to your brain during an intense coding session. You know the specific feeling I am talking about: You are deep in the code mines, mentally holding a complex dependency graph in your head, and you finally implement the fix for a race condition. You hit Cmd+S to save, and then the administrative ritual begins. You have to physically shift your focus from your code editor to your terminal window, breaking your visual focus. You have to press Ctrl+C to send a kill signal to your running server and wait a split second for the socket to close. You press the Up Arrow to recall your run command, and finally, you hit Enter. It seems like a trivial action that takes only a few seconds, but when you perform it hundreds of …  ( 9 min )

Recently, I’ve been running Codex alongside Claude Code and pasting every response into Codex to get a second opinion. It worked great… I experienced FAR fewer bugs, caught bad plans early, and was able to benefit from the strengths of each model. But obviously, copy-pasting every response is slow and tedious. So, I looked for ways to automate it. Tools like just-every/code replace Claude Code entirely, which wasn’t what I wanted. I also experimented with having Claude call the Codex MCP after every response, but ran into a few issues: Codex only sees whatever limited context Claude sends it. Each call starts a new thread, so Codex has no memory of the repo or previous turns (can’t have a multi-turn discussion). Claude becomes blocked until Codex completes the review. Other third-party MCP solutions seemed to have the same problems or were just LLM wrappers with no agentic capabilities. Additionally, none of these tools allowed me to choose to apply or ignore the feedback, so it wouldn’t confuse the agent if unnecessary or incorrect. I wanted a tool that was automatic, persistent, and separate from my main agent. That’s why I built Sage, which runs in a separate terminal and watches your coding agent in real time, automatically cross-checking every response with other models (currently just OpenAI models, Gemini & Grok coming soon). Unlike MCP tools, Sage is a full-fledged coding agent. It reads your codebase, makes tool calls, searches the web, and remembers the entire conversation. Each review is part of the same thread, so it builds context over time. Would love your honest feedback. Feel free to join our Discord to leave feedback and get updates on new projects/features https://discord.com/invite/bsFz2ppgMU Demo: https://www.youtube.com/watch?v=SerQyhBtlwM  ( 7 min )

Why this comparison matters - LangChain vs LangGraph I build practical LLM-powered software and have seen two patterns emerge: straightforward, linear pipelines and stateful, agentic workflows. The question "LangChain vs LangGraph" is not academic. It determines architecture, maintenance, and how the system reasons over time. When I say "LangChain vs LangGraph" I mean comparing two different design philosophies. LangChain is optimized for linear sequences: take input, run one or more LLM calls in order, store or return the result. LangGraph is optimized for graphs: nodes, edges, loops, and persistent state across many steps. I use LangChain when the workflow is essentially A then B then C. LangChain provides a standardized framework that saves developers from hard coding integrations, p…  ( 11 min )

🚀 I signed up for the 5-Day AI Agents Intensive with Google and Kaggle not just to learn—but to build something that matters. As a creative educator and Python developer, I’ve always believed that technical tools should feel intuitive, empathetic, and empowering. That’s how Finaura AI was born—a financial agent designed to help users navigate data with clarity and emotional resonance. 🧩 Building Finaura: From Idea to Agent Google ADK for agent orchestration Gemini 2.5 Flash for fast, context-aware generation Custom Python workflows for encoding, scaling, and regression modeling I architected Finaura to handle real-world financial data, but I didn’t stop at functionality. I wanted the agent to feel like a guide—not just a calculator. So I layered in storytelling: every insight comes with context. 🔧 Debugging the Soul of the Agent I iterated hybrid encoding pipelines until they were robust enough for noisy datasets. I refined regression workflows to balance performance with interpretability. I learned how to teach through errors—turning bugs into lessons for my audience. 🎭 Storytelling Meets Strategy 📚 What I Learned Agents are more than workflows—they’re experiences. Debugging is design. Every error is a chance to improve the user journey. Branding matters. A memorable name, a punchy tagline, and a clear value prop make your agent unforgettable. Community fuels growth. Sharing my build process helped me connect with other creators and learners. 💬 Final Reflection This challenge wasn’t just about building an agent—it was about building belief. Belief that I could blend creativity with computation. Belief that education can be emotional, technical, and transformative. Belief that agents like Finaura can help people feel less lost in their data—and more in control.  ( 7 min )

But while features and interfaces usually get the spotlight, one foundational layer rarely gets talked about: 👉 The programming language behind the application. In healthcare, this choice matters more than in almost any other industry because it affects: compliance & security data safety interoperability (FHIR, HL7, DICOM) long-term scalability performance under clinical load developer productivity integration with legacy systems Let’s break down the programming languages reshaping digital health in 2025—and what developers should consider when building healthcare applications. If you’re building anything involving: clinical ML models pattern recognition classification for medical images patient risk scoring NLP for EMRs workflow automation Python is the go-to. Why Python dominates health…  ( 8 min )

Over the past few weeks I’ve been building a fully-playable 8-bit virtual console from scratch — CPU, instruction set, assembler, sprite system, IDE, the lot. One of the more interesting side quests has been teaching an LLM to generate valid assembly targeting my CPU. You can follow the full build in my YouTube series here. It's called Building a Virtual 8-Bit Console with an AI Assistant and we're up to about part 14 and things are still ongoing. The source code for the project can be found on GitHub here - snapshot at the tag where I added this work. If you’ve ever tried asking a model to generate domain-specific code, you’ll know what happens: it writes things that look right, but your parser throws it back at you in disgust. I wanted something different. I needed this to work. I wanted…  ( 17 min )

In real-time data platforms, real-time data warehouses, data lake ingestion, and distributed data replication, CDC (Change Data Capture) has become a standard capability in building modern data pipelines. Whether you are building a real-time warehouse on StarRocks, Doris, or ClickHouse, writing real-time change events into Iceberg, Paimon, or Hudi, or synchronizing data across databases, CDC is the core foundation. There is one common CDC question that is often overlooked: Why must a MySQL CDC UPDATE event output two records — one BEFORE and one AFTER? Why can’t it output only the final new value? If we only have AFTER, can’t the system still sync correctly? At first glance, it seems possible. But once you dive into consistency, idempotency, replayability, primary key handling, data lake m…  ( 10 min )

Qui n'a jamais entendu cette question dans l'espace ouvert "oui, mais elle fait quelle taille ton unité ?" Et l'autre de répondre : "petite, comme... heu", et là, patatras, pas de point de comparaison. Pourtant, l'autre utilise JUnit, ou PHPUnit, ou un autre. Oui, JUnit, le cadriciel créé par Kent Beck et Erich Gamma (du GoF), LE Kent Beck du Test-Driven Development, le fameux TDA, pardon, TDD. Ne nous emportons pas, l'autre est peut-être adepte du Behavior-Driven Development, la fameuse méthodologie où ce sont les analystes métiers qui rédigent directement les cas de tests, grâce aux harnais fournis par les développeurs, et pas un dévoiement de la méthodologie où le développeur code dans un langage de concombres (même pas masqués) ? Ou simplement en écrivant des noms de méthodes de 500 ca…  ( 11 min )

Let's be real for a second. Nobody wakes up in the morning excited to write PDF generation code. It usually starts as a quick task. Your project manager drops by and says, "Hey, can we just add an 'Export to PDF' button for these invoices?" You nod. It sounds like a two-hour job. Three days later, you're still sitting there at 2 AM, trying to figure out why your table rows are splitting in half across pages or why the custom font works on your local machine but turns into garbage on the server. I've been down this rabbit hole too many times. So, instead of grabbing the first library I found on Google, I decided to actually sit down and test the three big players in the .NET space to see which one respects my time the most. Here is the breakdown of iText 7, QuestPDF, and IronPDF. The bigges…  ( 9 min )

🚀 Developing Invoice Shield: Creating an AI Workflow from a Boring Finance Task 🛡️ The Real Function of Invoice Shield 1) A little multi-agent system called Invoice Shield mimics a financial team: 🧠 Reasons for Selecting Agents Instead of One Big Model 🔍 The Most Interesting Part: 💡 What I Learned Building This • A good AI system is frequently made up of several simple components working together rather than the smartest model. ✨ The Result: 🚀 What Comes Next 🧪 Why this matters 🔗 Code https://github.com/MilindGarge07/InvoiceShield  ( 8 min )

✍️ Final Article Draft: English Translation Introduction: Stepping into the World of AI Agents When I first embarked on the AI Agents Intensive program, I realized that Agents were not just theoretical concepts but powerful frameworks capable of solving real-world problems. For our Capstone Project, we chose to build a Smart Content Generator Agent. Its primary objective was to reduce the time spent on creating compelling advertising copy for social media. This article will detail the challenges I faced in designing our Agent—such as structuring the prompt and dealing with performance issues—and the profound lessons I learned in guiding an Agent to produce accurate and high-quality content. Agent Architecture and Tools Our Agent's architecture is straightforward yet highly focused on the g…  ( 7 min )

I spent 6 months building a white label travel portal. Integrated 50+ APIs for flights, hotels, and buses. Here's what actually happened. 1. Every Travel API is Different (And Annoying) The Problem: 2. Speed Makes or Breaks You Day 1: Calling 15 APIs one by one = 12 seconds Lesson: In travel booking, anything over 2 seconds kills conversions. Cache everything aggressively. 3. APIs Will Fail at the Worst Times 3-4 backup providers for every service Lesson: Build for failure, not success. Always have backup providers. 4. India-Specific Challenges Nobody Mentions Different success rates for different banks GST Complexity: Domestic flights: 5% GST IRCTC (Train Booking): 5. The Real Costs (What I Didn't Expect) Development: ₹15 lakhs What I Actually Spent: Development: ₹28 lakhs (nearly 2x) The Hidden Killers: ₹2-5 per API search call (adds up fast with volume) Honest ROI: Total investment: ₹45 lakhs Lesson: Travel margins are thin. You make money on volume, not per-transaction. Key Strategies: Started with 5 reliable APIs, added more gradually Should You Build One? You have ₹30-50 lakhs to invest Don't build it if: Expecting quick returns Final Thoughts Questions? Drop them in the comments. Happy to share more specific details about any aspect. Tags: #webdev #startup #india #api #travel #entrepreneurship  ( 8 min )

December 4th, 2025 — A day the frontend ecosystem won’t forget. If Log4Shell was Java’s nightmare in 2021, then today’s disclosure of CVE‑2025‑55182 (Next.js counterpart CVE‑2025‑66478) marks the darkest hour of the modern React/Next.js full‑stack era. A CVSS score of 10.0, unauthenticated RCE, and impact across React 19, Next.js 15/16, and any framework implementing React Server Components (RSC). If you're reading this before coffee: drop everything and check your versions. React’s core team has officially confirmed a critical remote code execution vulnerability inside the implementation of React Server Components — and it’s as bad as it sounds. To understand the issue, we need to understand how RSC moves data. React Server Components rely on a streaming, JSON‑like protocol called Flight…  ( 8 min )

TinyNN: A Fast, Zero-Dependency Neural Network Library for Node.js A lightweight neural network library optimized for CPU performance. No dependencies, pure JavaScript. Trains MNIST to 91% accuracy in under a minute. Built for developers learning AI who want to understand the underlying mechanics without the overhead of heavy frameworks. TinyNN is a feedforward neural network implementation in ~500 lines of code. It uses typed arrays (Float64Array) and optimized loops for performance. Zero dependencies - No external packages required CPU optimized - Typed arrays and cache-friendly loops Small footprint - 8.4 KB compressed Educational - Clean, commented code you can actually read import tinynn from 'tinynn'; import { relu } from 'tinynn/utils'; // Create network: 784 inputs, two hidden l…  ( 7 min )

I am P. Perumal Moorthy, a participant of the 5-Day AI Agents Intensive Course on Kaggle. My Learning Experience During this intensive, I learned: What AI agents are and how they function Prompting strategies and tool usage Action → Observation → Thought workflow Handling multi-step reasoning tasks Building and deploying autonomous agents Capstone Project Experience In my capstone project, I created an AI agent that: Accepts user instructions Uses tools to solve tasks autonomously Handles errors and continues execution This project enhanced my understanding of practical AI automation and reinforced my problem-solving skills. Challenges & Growth Initially, structuring prompts and debugging agent actions was challenging, but the step-by-step guidance helped me overcome these difficulties. Key Takeaways Well-structured prompts greatly influence agent performance Combining tools with reasoning creates effective automation Testing and iteration are essential Appreciation Thank you to the Kaggle Team, instructors, and community for this incredible learning journey. I am proud to be part of this intensive and excited to continue learning AI, ML, and Data Science on Kaggle.  ( 6 min )

BrowserStack earned its reputation through reliable cross-browser testing infrastructure, but many teams discover its reporting capabilities don't match modern analytics needs. When Playwright reporting depth matters and costs climb with scale, exploring BrowserStack alternatives becomes essential. The BrowserStack Reporting Reality BrowserStack handles test execution across browsers and devices exceptionally well. Infrastructure is reliable, setup is straightforward, and coverage is extensive. These strengths make it popular for functional and visual testing. However, reporting remains execution-centric rather than analysis-focused. Basic trends and error grouping serve immediate needs, but teams seeking granular analytics, flaky pattern detection, or AI-assisted debugging consistently fi…  ( 9 min )

Gartner predicts that by 2025, 70% of new applications will use low-code or no-code technologies. This shift isn't just a trend; it's a survival strategy for startups facing tight budgets and developer shortages. Low-code platforms now allow founders to build enterprise-grade apps 10x faster than traditional coding. This guide explores how low-code platforms are transforming startup app development and helps you choose the right tool for your growth. The global low-code market is projected to reach nearly $50 billion by 2025. Startups drive much of this growth because they need to move fast. Traditional development cycles of 6-9 months are too slow when competitors launch in weeks. Low-code bridges the technical skills gap. With developer salaries rising, early-stage companies often cannot…  ( 10 min )

Hey dev community! 👋 I'm excited to share fullcircle™ - a dating app I've been building for people who practice meditation, yoga, energy healing, and embrace mindful living. Think of it as the anti-swipe app for conscious souls seeking genuine connections. Unlike mainstream dating apps that are just about matching, fullcircle combines dating with community and self-growth. This is what sets it apart. The Sanctuary is a dedicated space for: Spiritual Events: Meditation circles, sound baths, breathwork sessions Community Gatherings: Yoga circles, healing workshops, conscious community meetups Retreats: Weekend getaways and extended spiritual retreats Growth Practices: Group meditation, energy healing sessions It's not just about finding a partner - it's about connecting with a community t…  ( 7 min )

Participating in the 5-Day AI Agents Intensive was a transformative experience for me. Before joining, I had only a basic understanding of how AI systems work. But through the intensive, I learned how modern AI agents are designed, how they interact with tools, and how they solve real-world tasks in an autonomous way. One of the biggest takeaways for me was understanding how agents plan, reason, and take actions instead of just answering questions. Concepts like tool use, chaining tasks, prompt design, and structured reasoning helped me clearly see how powerful AI can be when combined with the right workflows. The practical exercises made everything feel real and approachable. I especially enjoyed working with Kaggle’s notebook environment, experimenting with prompts, and seeing how small prompt changes influenced an agent’s performance. It was exciting to watch an AI system break down a complex problem into steps and generate meaningful outputs. Another important learning was the importance of evaluation, safety, and reliability. I understood that building an agent is not just about making it “work,” but making it predictable, responsible, and aligned with user goals. This gave me a more professional perspective on AI development. 5.Overall, this intensive boosted my confidence and motivation to learn further. I now feel comfortable exploring advanced topics like workflow automation, model fine-tuning, and end-to-end agent design. I’m grateful to the Kaggle community and instructors for creating such an interactive learning experience. 6.This journey inspired me to continue building my skills, contribute to real-world AI projects, and keep learning through Kaggle courses. Thank you for this opportunity!  ( 6 min )

Building apps used to take weeks of coding and multiple tools. Now, platforms like Base44 are changing that with a simple idea: describe your app, and let AI build it. Base44 is an AI-powered app builder that turns natural language into fully functional web applications. It's designed for speed, simplicity, and flexibility. Whether you're launching your first product or testing a business idea, Base44 helps you get there faster without writing a single line of code. In this guide, you’ll learn what Base44 is, how it works, and what makes it different from other AI development tools. We’ll walk through its core features, key benefits, and real-world use cases. You’ll also discover its limitations and explore strong alternatives if you need more control or customization. By the end, you’ll k…  ( 11 min )

Ketika G. H. Hardy (Godfrey Harold Hardy) dengan bangga menyatakan bahwa karyanya dalam matematika murni tidak akan pernah berguna dalam praktik, ia ternyata keliru besar. Lebih dari 50 tahun setelah kematiannya, sistem yang mengamankan pesan WhatsApp Anda, melindungi transaksi perbankan online, dan menjaga komunikasi digital global semuanya bergantung pada ide-ide matematika yang pernah ia kembangkan. Ironisnya, matematika yang dulu ia sebut sebagai “indah tapi tak berguna” justru menjadi tulang punggung kriptografi modern. Artikel ini membahas jembatan tak terduga antara teori bilangan awal abad ke-20 karya Hardy dan skema enkripsi yang mengamankan dunia digital kita saat ini. Hardy adalah penganut kuat matematika murni ilmu yang dikejar demi keindahannya, bukan aplikasinya. Ia bekerja …  ( 7 min )

why java use oops concept ? OOPS CONCEPT IN JAVA -> Class -> Object -> Inheritance -> Polymorphism -> Encapsulation -> Abstraction  ( 6 min )

In today’s competitive business environment, visibility and credibility are key to success. Level Up Chicago has emerged as one of the top chicago public relations firms, helping brands craft compelling stories, engage audiences, and build lasting reputations. From startups to established businesses, Level Up Chicago offers strategic media outreach, social media management, and digital communication solutions that drive real results. Partnering with experienced chicago public relations firms ensures your brand stands out in a crowded market and connects meaningfully with your audience. With a focus on creativity, strategy, and measurable impact, Level Up Chicago is the go-to partner for businesses looking to elevate their brand presence in Chicago and beyond.  ( 6 min )

Images account for 50-70% of a typical web page's total size. Serving optimized images based on device capabilities and screen density is crucial for performance, user experience, and SEO. In this comprehensive guide, we'll explore device pixel ratio (DPR) optimization and responsive image techniques using React and Next.js. Device Pixel Ratio represents the relationship between physical pixels and CSS pixels. Modern devices have varying DPRs: Standard displays: DPR 1 (1920x1080 monitors) Retina/HD displays: DPR 2 (MacBook Pro, iPhone) Ultra HD displays: DPR 3+ (iPhone 15 Pro, Samsung Galaxy) Serving a 1x image to a 3x device results in blurry visuals, while serving a 3x image to a 1x device wastes bandwidth. // Get current device pixel ratio const dpr = window.devicePixelRatio || 1; // L…  ( 8 min )

This is a submission for the AI Challenge for Cross-Platform Apps — WOW Factor. I built a cross-platform app called Smart Café, a coffee-shop themed application that mimics the experience of entering a premium café menu on your device. The goal was to create a UI that feels warm, modern and immersive — an app where the user enjoys looking around even before clicking anything. The entire app runs from a single Uno Platform .NET codebase and maintains the same visual quality, animations and responsiveness across multiple platforms. 🔗 GitHub Repository: 📱 Screenshots / Video: Android screenshot Windows screenshot WebAssembly screenshot (upload screenshots directly into DEV below this section — judges love visual proof!) The app runs on: Android Windows WebAssembly (Browser) I wrote…  ( 7 min )

The success of the logistic regression gave me a confidence boost, but the program's performance felt like a punch to the gut. The naive matrix multiplication module was taking forever to complete even on a small dataset like (321 * 6). No programmer enjoys staring at the console for the program to finish its execution. I have a CUDA-enabled GPU sitting in my machine gathering dust. I had avoided configuring it for development for two years out of sheer laziness. But, to scale up I had to conquer my laziness. I had to make my GPU perform the heavy math. I spent some time searching alternatives. Many search results pointed to ndarray, a high-performance rust library to work with multi-dimensional arrays. It's a great library, but using it out of the box felt like cheating, like another blac…  ( 10 min )

Introduction In the part 8 of this article series, we learned how to develop a pure Quarkus REST application and deploy it on AWS Lambda. We also measure the performance (cold and warm start time times) of Lambda function. In this article series, we'll convert this sample application from part 8 into the GraalVM Native image and deploy it as AWS Lambda Custom Runtime and measure its performance. In the part 5 of this article, series we've already described the steps to convert the Quarkus 3 application into GraalVM Native Image. We need to perform the similar steps to convert our Qurakus REST application on AWS Lambda into the GraalVM Native (25) Image and deploy it as AWS Lambda Custom Runtime and measure its performance. The final application is published in the quarkus-3.26-as-graal…  ( 10 min )

For my cybersecurity masters work, I wanted to go deeper than running tools and reading packet captures. I wanted to understand what was happening inside the packets themselves. Instead of calling Scapy or hiding behind Python abstractions, I decided to build my own packet manipulation library from scratch in Nim. That became NimPacket, and it turned out to be one of the most useful and eye opening projects I have done. NimPacket gives full control of IPv4, TCP, UDP, and ICMP headers. Everything is exposed at the byte level. You can set fields, flip flags, stack layers, serialize to raw bytes, and then parse real traffic back into readable structures. Working at this depth made me understand not just how protocols work but how they fail and how attackers take advantage of them. I included real examples so the library is not just a research exercise. There is a working SYN port scanner, a raw packet sniffer, and an ICMP echo builder. These examples helped validate the code and also give anyone reading the repository a clear idea of how to apply the library in actual security work. It runs smoothly on Kali and makes it easy to build custom packet tools without relying on heavy frameworks. The project taught me a lot about checksum algorithms, endian handling, field packing, and protocol specifications. It also showed me why low level networking is still important for people in cybersecurity. You cannot fully understand network attacks unless you know what each byte represents and why it is there. If you want to see the code or try it out, the repository is here: https://github.com/0x57Origin/NimPacket I am always open to feedback from people who have more experience in systems programming or raw socket work, so feel free to check it out and let me know what you think.  ( 7 min )

Submission for the AI Agents Intensive Course Writing Challenge Introduction I'll be honest—before taking the 5-Day AI Agents Intensive Course with Google and Kaggle, I thought I understood agents. Spoiler: I didn't. My mental model was basically wrapping an LLM in a while(true) loop, adding a few if-statements, and calling it "agentic." Embarrassing in hindsight, but we all start somewhere, right? The past five days have completely rewired that thinking. I've gone from building simple, reactive bots to trying to architect "deliberative" systems that actually plan (and sometimes overthink) their next move. Key Learnings & Insights Reactive vs. Deliberative: The Wake-Up Call Honestly? The distinction between Reactive and Deliberative agents hit me like a truck. I'd been building 'agents' fo…  ( 8 min )

I have attempted to learn Rust several times in the past. The journey always looked the same: start learning an area of development, implement a few things, understand the concept; and then leave it after some time. This happened more than once, so I decided to try a different approach this time. I was also curious about how AI works. I don't quite like the "magic" of black boxes and machine learning felt like one to me. So, I set out on a new journey: to merge both of my areas of learning in one project. I decided to write a Rust-based ML library. It went well. I spent about a month to get to the point where it can do simple linear regression. But then, due to other priorities, the project went on the back burner, collecting dust. After about 18 months, I found some free time to pursue th…  ( 10 min )

This article is a machine translation of the contents of the following URL, which I wrote in Japanese: https://qiita.com/Nana_777/items/d71dacb97e1e99375b36 This is the fifth post in the Japan AWS Top Engineers Advent Calendar 2025. Today, I'd like to introduce Kiro, a character who frequently appears in my Advent Calendar-related posts. I've written about Kiro in several past articles, so I'll quote those articles and provide an overall overview of Kiro. ↓ Japan AWS Top Engineers Advent Calendar 2025 is here https://qiita.com/advent-calendar/2025/aws-top-engineers ↓ My previous article on Kiro https://dev.to/aws-builders/aws-we-tried-out-the-popular-kiro-features-including-applying-rule-files-and-implementing-from-54di ↓ Some of the images in this article are slides I used at JAWS-UG Morn…  ( 11 min )

Developers and automation engineers know one constant truth: Data Extraction Accuracy Improves from ~70% → 95%+ AI Validation Rules Catch Errors Earlier Predictive Logic Reduces Decision Errors Feedback Loops Improve Accuracy Continuously Hybrid Automation = Maximum Reliability  ( 6 min )

We've all been there. You open a Pull Request, and it's 50 files deep. You spend the next hour commenting on indentation, variable naming, and missing docstrings. By the time you're done, you're exhausted. And that's exactly when the real bugs slip through. I'm talking about the silent performance killers. The O(n) operation inside a loop. The unconstrained file extraction that becomes a Zip Bomb. The full database reload triggered by a single user action. These aren't style issues. They are architectural bottlenecks and security vulnerabilities that linter rules can't catch. I realized that my team was spending 90% of our review time on things that didn't matter, and missing the 10% that actually killed production. We needed a way to automate the deep inspection—not just "is this line too…  ( 7 min )

Just a week ago, Google launched Antigravity, and why not give it a try and share my experience? And here I am for this. In this article, I'll talk about my first experience with Antigravity and how I built a small web app called The Mood Mirror. This app emulates an artist who can convert your mood into abstract images or videos. Spoiler: this app uses Gemini 3, Nano Banana Pro and Veo, but I'll talk about them in a future article. Let's start with a small presentation about Antigravity. Google Antigravity is an Agentic IDE. It is a fork of VSCode with a dedicated agent section that features models such as Gemini, Claude, and GPT. This last part is what makes Antigravity different from VSCode or Cursor; this section is built and maintained by Google. Yes, the experiences are common, but h…  ( 10 min )

it’s a context → space → navigation language. So the ordering rule is: Think of ME as a contextual algebra: State: short-term memory (STM), indexes, encryptedBranches, localSecrets/localNoises, runtime frames Context: the current “frame” (identity focus, effectiveSecret, current pointer target, etc.) Navigation: path composition under the current context. You can group operators by what kind of context they construct: Identity/context focus operators Secret / privacy frame operators Noise / re-root operators Pointer / alias frame operators Derivation operators Query/collection operators tombstones/removes a value under the current context @ creates an identity-focus Thought and updates the active identity frame. _ creates/loads a secret frame and makes selected roots stealth. **~ **changes effectiveSecret lineage. __ binds pointer frame and makes __ptr.* derivations meaningful. Axioms should be structure + frame invariants, not app-policy validation.  ( 7 min )

XXE Injection remains one of the most dangerous, yet misunderstood, flaws. If your application processes XML (including SVG or SOAP), it is likely vulnerable to catastrophic attacks. I published a technical breakdown showing exactly how attackers: Read arbitrary system files (e.g., /etc/passwd). Execute Server-Side Request Forgery (SSRF) against internal networks, including cloud metadata services (169.254.169.254). Perform Blind XXE via out-of-band data exfiltration. The article includes code snippets for disabling external entity processing across Java, PHP, and .NET. ➡️ Read the full technical analysis here: https://revbrightintl.blogspot.com/2025/12/xml-external-entity-xxe-injection.html  ( 6 min )

You spent October and November perfecting your holiday campaigns. The sales came through. Your December revenue looked beautiful. Then January hits, and those same customers who couldn't wait to buy from you suddenly act like you never met. Sound familiar? Here's what actually happens: Most brands treat post-holiday email strategy like they're still in November. Another 20% off email. Another "New Year, New You" subject line. Another reason for customers to hit unsubscribe because they're drowning in promotional fatigue after six weeks of URGENT LAST CHANCE FINAL SALE messages. The data tells an interesting story. According to recent e-commerce research, about 68% of holiday shoppers are first-time buyers. But only 22% of those buyers make a second purchase within six months. That gap? Tha…  ( 13 min )

From Prompts to Pipelines: What I Learned About Building Real AI Agents When I joined the AI Agents Intensive, I thought “agents” were nothing but just smart chatbots. And by the end, I was building ProdigyFlow — a full multi-agent pipeline that loads raw data, cleans it, analyzes it, creates charts, and finally produces an automated report. This course completely changed how I think about AI. The biggest shift for me was understanding that agents are not one big model — they’re a team. Each agent has a job, its own tools, and a clear role in the pipeline. a Cleaning Agent to fix messy data an Analysis Agent to derive insights a Visualization Agent to generate graphs and a Main File to make them work together smoothly Seeing these parts collaborate felt like building a small company inside Python. There were a lot of behind-the-scenes struggles too: API keys broke so many times we memorized our .env file 😭 GitHub workflows failed at 2 AM for reasons we did not understand We learned how important logs, error handling, and reproducible runs really are Python libraries (Pandas, Matplotlib, tqdm) became our superpowers But every challenge made the final system more real. This project also became a true team win. My teammate Priyamvadha and I figured things out together — fixing bugs, testing agents, and redesigning the pipeline more than once. Here are the project links if you want to explore: https://github.com/komalharshita/prodigyflow https://www.kaggle.com/competitions/agents-intensive-capstone-project/writeups/ProdigyFlow https://www.linkedin.com/in/komalharshita/ Huge thanks to Google, Kaggle, and the mentors for creating this opportunity. I started this course writing simple prompts, and finished by building an end-to-end intelligent pipeline.  ( 7 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections The AI Agents Intensive has been one of the most meaningful learning experiences of my year. When I first joined, I wasn’t sure I could grasp concepts like agents, tools, memory, or even navigate Kaggle effectively. But this journey completely changed my mindset and revealed a version of myself that is more capable, curious, and confident. The most fascinating part of the intensive was working with Kaggle Notebooks. For the first time, I got hands-on experience running code, experimenting with agents, and seeing everything come alive in real time. I also learned how AI uses memory to better understand users — a concept that made me appreciate the intelligence behind conversational systems. Witnessing how …  ( 7 min )

Before we can start creating resources in Microsoft Azure, one of the first concepts to understand is Azure Resource Manager (ARM). ARM is the backbone of how resources in Azure are deployed, managed, and organized. Let's talk about it. Azure Resource Manager is an orchestrator and management layer that sits between users and resource providers, enabling users to create, update, and delete resources in their Azure accounts. Resource providers are services, such as storage or compute, that supply Azure resources. Think of ARM like a remote control for a smart home. Just as a remote allows you to manage various functions like lighting, temperature, and security from one device, ARM acts as the control center, ensuring that all your resources, such as Virtual Machines (VMs), Storage Accoun…  ( 8 min )

Runtime memory handling is a crucial part of writing software, which heavily impacts the performance of your program. I think for every language there comes this layer of responsibility, but how it is delegated between the developer and the language is different. In the case of using C/C++ - memory allocation is totally under the control of the developer. Whereas in languages like JavaScript, Python, Go, Java, where memory is managed - developers rarely need to worry about where an array is stored in memory, it's the duty of the language's runtime system to decide when to deallocate data that is no longer used. And this is where garbage collection comes into play. C# (.NET platform) is known for its heavy GC (garbage collection) of dynamic (heap-allocated) resources. The process is straigh…  ( 18 min )

YouTube Shorts can blow up fast but only if you understand how your audience behaves. One of my recent Shorts crossed 25K+ views within just 2 days, and it's still trending today. Here’s the Short if you want to check it: https://youtube.com/shorts/SHmcBMhZ0p0 The secret behind that growth wasn’t luck. analytics especially metrics like: Stayed to watch (Retention %) Average view duration Hook performance (first 3 seconds) Replays & Loop factor In this guide, I’ll break down everything I learned so you can repeat the same results. My video analytics showed something like: Stayed to watch: 66.2% Average view duration: 0:20 seconds This tells you two BIG things: Anything above 50% retention is excellent for Shorts. A 20s average duration often means people are skipping early so improving you…  ( 7 min )

Model Context Protocol explained through practical Q&A The Problem MCP Solves Building Your First MCP Server The Client Side The Two-Terminal Misconception The Three Components Client vs Host - The Key Difference Why Three Components? Testing Your MCP Server Real-World Example: GitHub MCP Server Common Patterns Debugging Tips Architecture Deep Dive Quick Start Summary Explore More MCP Servers Rahul (Developer): Man, I keep hearing about MCP everywhere. What problem does it actually solve? Amit (Expert): Good question! Let me give you a real-world scenario. Before MCP, if you wanted Claude Desktop to access your GitHub repos, AWS resources, and company database, you'd need: Claude team to build custom GitHub integration Claude team to build custom AWS integration Claude team to build custo…  ( 14 min )

This is Day 4 of Building SaaS Solo - Design, Implementation, and Operation Advent Calendar 2025. Yesterday I wrote about "Starting Indie Development with Next.js + Supabase." Today I'll share my documentation strategy for indie development. Note: What I'm sharing here is my current approach after much trial and error. I've had plenty of failures, and I'll share those too. I spent many years at a SIer doing waterfall development. The flow of requirements → basic design → detailed design → implementation → testing is ingrained in me. When I started building Memoreru as an indie project, I initially took a waterfall approach, but gradually evolved into a hybrid style incorporating agile elements. After much trial and error, Memoreru's documentation has the following structure. This may conti…  ( 9 min )

Bias vs Variance in Production ML — Deep Technical Guide for Real-World Systems How top ML teams diagnose degradation when labels are delayed, missing, or biased. One of the most insightful questions I received on my previous article was: “How do you practically estimate and track bias vs variance over time in a live production ML system?” This sounds simple, but it’s one of the hardest unanswered problems in ML engineering. Because in production: Labels arrive late (hours → days → weeks) Many predictions never receive labels Datasets are streaming, not static Concept drift changes what “correct” even means External world shifts faster than retraining cycles Traditional bias–variance decomposition becomes useless This article is the deepest, most technically complete breakdown of…  ( 10 min )

Beyond Backpropagation: Hyperdimensional Computing for Lightning-Fast Graph Analysis Imagine analyzing massive social networks or predicting molecular properties in real-time. The problem? Traditional graph neural networks (GNNs), while powerful, often choke on the sheer scale of these tasks, demanding immense computational resources. Here's the breakthrough: a novel approach leveraging hyperdimensional computing (HDC) for graph classification. Instead of backpropagation and gradient descent, we use high-dimensional vectors to represent graph structures and node attributes. These vectors are then manipulated using simple algebraic operations, essentially encoding graph relationships within the vector space. Think of it like this: each node is a unique musical note, and the relationships …  ( 7 min )

I Built an AI Memory System Because I Got Tired of Repeating Myself AI has no memory. Every conversation starts from zero. And I was sick of it. I'm a production manager in live entertainment - concerts, theater, events. I work with hundreds of crew members, complex schedules, and zero margin Every. Single. Session. Started. Over. "I prefer snake_case for variables." I'd type these preferences daily. Sometimes hourly. My context window was filling up with repetitive information, my costs were climbing, and the AI learning from our work together. So I built Claudarity - a memory system that tracks what works, what doesn't, and automatically provides context when needed. ## The Problem: AI Goldfish Syndrome Current AI assistants are like having a brilliant colleague with amnesia: No memory b…  ( 10 min )

Introduction to Agents This part helped me understand what an AI agent actually is. Earlier, I only thought of an agent as something that “answers questions,” but through the intensive, I learned that an agent is a whole system that observes, plans, reasons, and takes actions. I learned how agents break down problems, how their workflows are structured, and how different components work together. This foundation completely changed the way I think about AI systems. Agent Tools & Interoperability with Model Context Protocol (MCP) This was one of the most eye-opening sections for me. I learned how agents use external tools instead of relying only on model outputs. Understanding MCP taught me how tools, models, and memory can communicate cleanly through a shared protocol. Context Engineering: …  ( 10 min )

I recently completed the 5-Day AI Agents Intensive, and surprisingly, this short program taught me more about AI agents than I expected. It was fast, hands-on, and filled with small “aha” moments that made the whole experience genuinely worth it. *Why I Joined *What I Learned (In Simple Words) Each day clarified one important concept: Capstone Project Experience The capstone project felt a bit challenging at first because it required building a complete workflow—from planning to execution. But once the agent started following each step properly, everything clicked. This project taught me that solid planning, proper tool usage, and debugging are the real skills behind building agents. What I Liked the Most The steps were simple and clear Examples were practical Watching the agent run in real time was fun The Kaggle community was supportive And for a 5-day program, it covered a surprising amount Overall, the experience felt smooth and genuinely enjoyable. *How This Course Helped Me A short program, but with a strong learning impact. *What I Plan To Do Next Try automating real-world workflow Overall, this intensive was short but extremely impactful and excellent. If someone wants to understand AI agents from the ground up, this program is a perfect starting point For me, it was a simple, clear, and genuinely useful learning experience  ( 7 min )

What if the relentless grind and exhausting struggle aren't the only paths to success? For years, I championed the "self-made man" ethos, believing that achievement was born solely from pain and overcoming. But I discovered a more elegant, powerful way: the path of Allowance. This isn't about cheats or hacks; it's about understanding the fundamental mechanics of reality. It’s a shift from forcing outcomes to allowing them, transforming life from a battle for survival into a captivating game you are designed to win. This is the most important career—and life—lesson I've ever learned. Introduction: A Departure from the Known This is not my typical article. For the first time, I'm stepping away from my own rules to publish something that has no direct link to cybersecurity. Yet, in my view…  ( 12 min )

Introduction The next billion mobile users aren't getting smartphones, they're getting $20 flip phones running KaiOS. While the tech world obsesses over the latest iPhone, over 200 million people worldwide rely on feature phones with limited capabilities but essential connectivity. My challenge: Build BlueKai, a fully-featured BlueSky client for devices with 256MB RAM, Gecko 48 (Firefox from 2017), and D-pad navigation. No touch screen. No modern JavaScript APIs. Just the basics, and the determination to bring decentralized social networking to users in remote areas with limited data plans. This is the story of how I used Kiro, an AI-powered IDE, and a spec-driven development approach to ship a production-ready app in days instead of weeks. KaiOS sits in a unique position in the mobile …  ( 11 min )

The landscape of business automation has just shifted beneath our feet. For years, the debate has been between user-friendly tools like Zapier and powerful, developer-centric platforms like n8n. But the release of Google Workspace Studio has introduced a third, massive variable: hyper-intelligent, AI-native automation that is already included in the software suite used by 3 billion people. As an automation strategist who has built hundreds of workflows, I’ve been analyzing this shift. This isn't just about features; it’s about the fundamental difference between "connecting apps" and "deploying agents." If your organization is paying $20 to $50 per user for n8n Cloud, or spending valuable engineering hours maintaining self-hosted instances, you need to pay attention. If you're short on time…  ( 8 min )

Ever spent hours setting up a new Mac for development? Installing Homebrew packages, configuring dotfiles, tweaking system settings, arranging your Dock... it's tedious and error-prone. What if you could automate everything with a simple Ruby DSL that reads like plain English? Meet Hola – a blazing-fast development environment manager that combines the best of Homebrew, mise, and dotfiles management into one cohesive tool. I've been a long-time Chef user because typing endless brew install or apt install commands drives me crazy. Chef's Ruby DSL is perfect – it's readable and expressive. But Chef comes with heavy dependencies, especially on macOS where it installs unnecessary components and even creates system users. Other configuration management tools? Ansible and Salt force you to write…  ( 9 min )

The bubble tea shop always feels a little magical when I walk in for my shift. Even before the lights come up or the blenders start humming, there’s this sweet smell in the air. It’s a mix of brown sugar syrup, fresh tea, and whatever fruity flavor someone wrapped up the night before. It reminds me of the first warm day after winter, when everything feels soft and new. I slip behind the counter, tie my apron, and take a quick look around at the toppings bar standing like a colorful parade. Pearls, jellies, puddings, popping bursts, the works. Even when I’m tired, that little lineup wakes me up. Opening duties are simple. Shake the containers a bit so everything looks fresh, refill the pearls if they look low, check the ice, and make sure all the teas are brewed and cooled just right. I alw…  ( 11 min )

How the same patterns that saved backend APIs can transform your CLI architecture 💡 TL;DR - The Safe Migration Strategy: Extract commands to external plugins (publish as beta) Add plugins as dependencies in your core (v2.x - zero breaking changes) Gather feedback, iterate, stabilize Remove dependencies in v3.0.0 (breaking change, but prepared) Users install only what they need Result: Safe migration + independent plugin evolution Remember when your CLI was just a little tool with 3 commands? Yeah, me too. Then product asked for "just one more feature"... and another... and another. Now you're maintaining a 50-command behemoth where changing one line breaks three unrelated commands. Welcome to the CLI monolith trap. Here's the thing: CLIs go through the exact same evolution as b…  ( 12 min )

In the era of mobile applications, competition has shifted from feature wars to performance wars. Whether it's gaming apps, social applications, or financial tools, performance smoothness and resource consumption directly determine user retention. For iOS developers, finding a suitable performance monitoring tool often means debugging and optimization efficiency can be improved several times. This article is based on the latest iOS 26 system and selects six widely used performance monitoring tools in the developer community for in-depth evaluation: Xcode Instruments, Firebase Performance, New Relic, KeyMob, TestFlight Metrics, PerfDog. Through comparisons in dimensions such as functionality, accuracy, ease of use, and platform support, it helps developers choose the performance monitoring …  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: [Learning Reflections OR Capstone Showcase] Over the past week, I completed the Kaggle × Google 5-Day Intensive Program — a fast-paced, hands-on sprint that helped me dive into Python for Data Science, Machine Learning basics, and Kaggle-style workflows. Below, I’m sharing the full structure of the course, how I experienced each day, what I built, and the skills I gained. If you’re starting out in ML or thinking of trying Kaggle, this might help you decide if this path is for you. 📅 Course Structure & My Daily Experience Day 1 — Getting Started: Python Basics + Kaggle Environment ✔️ Introduction to the Kaggle environment: Notebooks, datasets, competitions. ✔️ Brushed up on Python essentials — lists, dictionaries, loops, cond…  ( 7 min )

My 5-Day Journey with the Kaggle AI Agents Intensive – What I Learned & Built I recently participated in the 5-Day AI Agents Intensive by Kaggle. This challenge taught me how to understand, build, and deploy AI agents in a simple and practical way. In this post, I am sharing my learning experience and the project I built for the Capstone Challenge. ⭐ Why I Joined the Intensive I joined because I wanted to learn how modern AI systems work—especially agents that can: take actions, understand instructions, interact with tools, and solve real problems. Before starting, I had very little knowledge. But the course made everything easy. ⭐ What I Learned Each Day 📌 Day 1 – Understanding Agents I learned what an AI Agent is, how it works, and why agents are important in real-world apps. 📌 Day 2 – Tool Use I learned how agents can use external tools like: search, code execution, data processing. 📌 Day 3 – Planning I understood how agents break tasks into smaller steps before solving them. 📌 Day 4 – Multi-Agent Systems I learned that multiple agents can work together—each with different skills. 📌 Day 5 – Deployment I deployed my own agent using Kaggle Notebooks and made it publicly viewable. ⭐ My Project: AI Fashion Outfit Recommendation Agent For the final day, I created an agent that recommends outfits based on: user preferences, color choices, style, occasion. The agent analyzes user input and suggests a matching outfit that looks stylish and simple. ⭐ What I Gained from the Intensive Clear understanding of AI agents Ability to build a working agent Knowledge of planning, tool-use, and multi-agent design A complete project to showcase More confidence to explore AI career paths ⭐ Final Thoughts This 5-Day AI Agents Intensive was one of the best short courses I’ve completed. It was simple, beginner-friendly, and focused on hands-on learning. I recommend it to anyone who wants to start learning AI in a practical way. Thank you Kaggle & Google DeepMind for this opportunity!  ( 7 min )

Displaying tabular data on the web can often be a challenge. While Excel spreadsheets are incredibly powerful for data organization and analysis, their native .xlsx or .xls formats are not directly renderable by web browsers. This often leaves developers searching for efficient ways to bridge the gap between rich Excel data and web-friendly formats. The solution? Converting Excel to HTML using C#. This article will guide you through this process, leveraging the robust capabilities of Spire.XLS for .NET to transform your Excel data into clean, accessible HTML. The reasons for converting Excel files to HTML are numerous and primarily revolve around enhancing accessibility and interoperability: Web Display: HTML is the native language of the web. Converting Excel data allows it to be seamle…  ( 9 min )

The 5-Day AI Agents Intensive was honestly one of the most eye-opening learning experiences I’ve had in AI so far. Before this course, I had a basic idea of what “agents” were, but now I understand how they actually think, plan, interact with tools, coordinate with other agents, and solve problems end-to-end. Here are my reflections and key learnings from the week: 🔍 What Concepts Resonated the Most With Me The Difference Between LLMs and Agents I always thought agents were just “smart prompts,” but this course made me see the bigger picture. Tool Use + Planning = Real Intelligence The idea that an agent can call APIs, search, run code, analyze data, and then use that information to make decisions felt extremely powerful. Multi-Agent Collaboration This was my favourite concept — giving different agents different roles and watching them coordinate. Reliability, Guardrails & Iteration Loops Before this, I didn’t think too much about failure modes. 🧠 How My Understanding of AI Agents Has Evolved Before this course: After the course: This shift from prompting to system design is the biggest evolution in my mindset. 💡 Overall Reflections This course didn’t just teach me how to build agents — it changed the way I think about AI systems. I’m excited because agents are clearly the next big thing, and after this intensive, I feel much more prepared to build with them. 🏁 Final Thoughts Huge thanks to the Google × Kaggle team for creating such a well-structured and approachable learning experience. If anyone is curious about agentic AI or wants to start building real autonomous systems, I’d definitely recommend going through the course material on Kaggle’s Discord and Learn Guide. Looking forward to building more agentic workflows and exploring this space even deeper! 🤖✨  ( 7 min )

When the fog rolls in and lightning strikes, you know you're not in Kansas anymore... It started on a dark and stormy night (okay, it was actually a Tuesday afternoon, but let me set the mood here). I wanted to build something that combined my love for atmospheric visuals with practical functionality. What if checking the weather could be... spooky? Enter the Eerie Weather App — a 3D weather visualization experience where a haunted floating house reacts to real-time weather conditions from cities around the world. Rain? The skies darken and droplets fall. Thunderstorm? Lightning cracks across the sky with an eerie glow. It's like having your own personal haunted house that tells you whether to bring an umbrella. The floating house awaits, shrouded in eternal twilight... Every good haunted…  ( 10 min )

Taking part in the 5-Day AI Agents Intensive Course was a transformative experience that reshaped how I think about autonomous systems. Each day blended discussion, experimentation, and practical exercises, giving me a grounded understanding of how AI agents operate in real scenarios—from simple task execution to more cooperative multi-agent interactions. Key Takeaways A major insight for me was recognizing how different AI agents are from conventional chatbots. Rather than waiting for prompts and responding, agents can draw on tools, gather information, and make step-by-step decisions to work toward a goal. Seeing this distinction in action helped me appreciate how agent-based systems can support more dynamic problem-solving. I also gained a clearer picture of how memory and coordination …  ( 7 min )

I realize I'm building plugins for a "niche within a niche"—using Neovim for Unreal Engine C++ development. But honestly? It's becoming surprisingly capable. This week, I shipped some massive updates to the UnrealDev.nvim ecosystem. From Perforce integration to a wizard for generating UPROPERTY macros, here is what’s new! Health Checks for Peace of Mind :checkhealth UnrealDev I added a health check command to verify that your Unreal Engine development environment is set up correctly. Since nvim-treesitter parsers don't always auto-update with plugin managers, things can sometimes get out of sync. If something feels off, just run this command to troubleshoot instantly. Finally... Perforce (P4) Support! You can't talk about Unreal Engine development without mentioning Perforce. It's the i…  ( 9 min )

Device repair shouldn’t feel like a horror movie. 👻 Inspiration — When a Simple Idea Meets Real Need 🛠️ What FixIt AI Does ⚙️ How I Used Kiro to Build FixIt AI 🟣 1. Vibe Coding — My Main Workflow 🟣 2. Spec-Driven Development 🟣 3. Steering 🟣 4. Rapid Prototyping & Debugging 🟣 5. Creativity + User Experience 🚀 What I Learned 😅 Challenges I Faced 🎯 Final Thoughts 🔗 Try it here https://fixit-ai-kiroween.netlify.app https://fixit-backend-up86.onrender.com https://github.com/legendstechgh/fixit-backend 🧡 If you enjoyed this or want to collaborate, connect with me: https://www.linkedin.com/in/alvin-messiwotso-akaba-544565398/ 👻 Powered by Kiro.  ( 9 min )

Java remains one of the most influential programming languages in the world—powering enterprise applications, Android apps, financial systems, cloud platforms, and millions of backend services. If you want a language that is stable, scalable, secure, and widely used across industries, Java is an excellent choice. In this article, you’ll learn Java from the ground up, including syntax, object-oriented programming, advanced concepts, and practical code examples. Whether you are new to programming or transitioning from another language, this guide will help you write clean, production-ready Java code. 1. What Is Java and Why Is It Popular? Java is a class-based, object-oriented, platform-independent, strongly typed programming language. Key Features Platform Independent (“Write Once, Ru…  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections* The AI Agents Intensive has honestly been one of the most eye-opening learning experiences I’ve had in a long time. When I joined, I had a basic idea of what AI agents were—but I definitely didn’t understand how they think, how they make decisions, or how much autonomy they can actually have. This course completely changed that. Concepts That Truly Stuck With Me are: (1) Reasoning Loops & Agent Architecture: Understanding frameworks like React and Reflexion helped me see the “mindset” behind an agent—how it observes, reasons, plans, and then acts. It felt like I was finally seeing the blueprint of intelligence. (2) Tool Use: This was a big “aha” moment. Realizing that agents become powerful when they can…  ( 7 min )

Or: How I Learned to Stop Worrying and Love the Compiler 🦀 It was 3 AM. I was staring at my screen, watching npm install crawl through its 47,000th dependency. My React app needed one simple date picker. One. The node_modules folder? 1.2GB. The actual code I wrote? 200 lines. That's when I decided: enough is enough. Let's be honest about what we've normalized: "Just run npm audit fix" — Translation: Play Russian roulette with your dependencies and pray nothing breaks. "Works on my machine" — Because somehow, in 2025, we still can't reliably reproduce builds. "Add @ts-ignore here" — TypeScript's way of saying "I give up, you're on your own." "node_modules is only 800MB" — Said with a straight face, as if that's acceptable for a todo app. We've gaslit ourselves into thinking this is fine. I…  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections  ( 6 min )

Hi everyone, I've been hearing the term 'vibe coding' recently, and somehow I found myself riding that wave. After a few days of just tinkering with an AI, I managed to build and even publish two small apps to the Microsoft Store. It's been a truly amazing and surprising experience! Riding that high, I got ambitious and started on a third program, but I've hit an unexpected wall and would love to get your advice. My goal is to make the PC experience smarter using voice commands and AI. OmniVoiceKey: A free voice recognition utility I built out of frustration with the native voice recognition in Windows 10. It lets you use a hotkey to recognize your voice and preview the text, and it works directly in the Windows environment without needing any special APIs. QuickAskAI: A utility that lets …  ( 8 min )

Who am I & why Kiroween? Hi! I'm a DevOps/SRE engineer who lives in the terminal more than in the browser. When I saw Kiroween’s categories – especially Frankenstein and Costume Contest – it felt like an excuse to finally build the terminal app I always wanted: Something visually loud and fun, even though it's in a terminal Still useful for day-to-day work (not just a toy) And built in a very “Kiro-native” way: specs, steering docs, and agent hooks ntomb – the undead connections monitor Working title: ntomb – undead connections monitor The idea is simple: Take boring connection lists like ss, netstat, or /proc data, and turn them into a spooky TUI graveyard of connections. Instead of: text tcp ESTAB 0 0 127.0.0.1:8080 127.0.0.1:53412 nginx I want something like: 💀 “Undead…  ( 9 min )

La fábrica de Santa ha empezado a recibir la lista de producción de juguetes. Los elfos, como siempre, han metido la pata: han apuntado algunos juguetes con cantidades que no tienen sentido. Tienes una lista de objetos con esta forma: toy: el nombre del juguete (string) quantity: cuántas unidades hay que fabricar (number) Tu tarea es escribir una función que reciba esta lista y devuelva un array de strings con: Cada juguete repetido tantas veces como indique quantity const production1 = [ { toy: 'car', quantity: 3 }, { toy: 'doll', quantity: 1 }, { toy: 'ball', quantity: 2 } ] const result1 = manufactureGifts(production1) console.log(result1) // ['car', 'car', 'car', 'doll', 'ball', 'ball'] const production2 = [ { toy: 'train', quantity: 0 }, // no se fabrica { toy: 'bear', quantity: -2 }, // tampoco { toy: 'puzzle', quantity: 1 } ] const result2 = manufactureGifts(production2) console.log(result2) // ['puzzle'] const production3 = [] const result3 = manufactureGifts(production3) console.log(result3) // [] Mi solución: Puedes seguir todos los retos del Advent.js en este tweed de @midudev // Detect dark theme var iframe = document.getElementById('tweet-1995586403544002855-359'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1995586403544002855&theme=dark" }  ( 7 min )

I joined the Kaggle 5-Day AI Agents Intensive because I wanted to start learning about AI and understand how agents work. I was not able to watch all the live classes due to my personal schedule, but I still learned valuable things from the guide and shared resources. The AI Agents Learn Guide helped me understand the basic ideas in a simple way — especially how agents make decisions, interact with environments, and complete tasks. Even though I couldn’t finish every lesson, the course gave me confidence to learn more about AI step by step. This experience inspired me to continue exploring new topics and revisit the recorded content when I have more time. I am thankful to Kaggle for creating such an easy-to-follow program. This intensive has motivated me to improve my skills and stay consistent in my learning journey.  ( 6 min )

Introduction The Model Context Protocol (MCP) is a revolutionary open protocol developed by Anthropic that enables AI assistants like Claude to connect with external data sources and tools. In this article, I'll guide you through building your own MCP server that can be used with Claude Desktop, VSCode, and other compatible clients. MCP provides a standardized way for AI assistants to interact with external systems. Think of it as a universal adapter that allows Claude to: Access databases and APIs Read and write files Execute commands Interact with web services The protocol defines a client-server architecture where: MCP Clients (like Claude Desktop or VSCode) connect to servers MCP Servers expose specific capabilities (resources, tools, and prompts) Communication happens via JSON-RPC 2…  ( 8 min )

Day 3: Multi-Agent Systems - The Supervisor Pattern Welcome to Day 3. We have a single agent that can use tools. But as tasks get complex, a single prompt becomes overwhelmed. It's hard to be a "Researcher, Writer, Editor, and Coder" all at once. The solution is Multi-Agent Systems. We break the brain into specialized distinct personas. We will build a graph where two agents collaborate: Researcher: Has access to search tools. Its system prompt is "You are a researcher...". Writer: Has NO tools. Its system prompt is "You are a writer...". They communicate by adding messages to the shared State. We use a helper function to create nodes. Notice how we bindTools only to the Researcher. The Writer doesn't even know tools exist, which prevents it from hallucinating tool calls. const createA…  ( 7 min )

Day 2: Introduction to LangGraph - From Chains to Agents Yesterday, we built a Chain. It was a straight line: Input -> Retrieve -> Answer. This is where LangGraph comes in. It treats your AI application as a Graph (nodes and edges) rather than a Chain (a list of steps). In a Chain, data flows from one step to the next like a bucket brigade. In LangGraph, there is a central State object that everyone reads from and writes to. It's like a shared whiteboard. // The State is just a list of messages import { MessagesAnnotation } from "@langchain/langgraph"; // MessagesAnnotation is a pre-built state definition for chat apps. Nodes are just JavaScript functions. They take the current State, do some work, and return an update to the State. const agentNode = async (state) => { // Read the his…  ( 7 min )

Day 1: Foundations of Agentic AI - RAG and Vector Stores Welcome to the first day of our 4-day series on building Agentic AI applications with LangChain and LangGraph. Over this series, we will evolve a simple script into a sophisticated, human-in-the-loop multi-agent system. Today, we start with the bedrock of modern AI apps: Retrieval Augmented Generation (RAG). Large Language Models (LLMs) like GPT-4 are frozen in time. They don't know about your private data, your company's wiki, or the news from this morning. If you ask them about it, they might "hallucinate" (make things up). RAG is a technique to "inject" knowledge into the LLM's prompt before it answers. It works in two phases: Ingestion: Preparing your data for search. Retrieval: Finding the right data and sending it to the LL…  ( 8 min )

Day 4: Production Patterns - Persistence and Human-in-the-Loop Welcome to the final day. We have a smart team of agents. But in the real world, scripts crash, users get distracted, and sometimes the AI makes a mistake that a human needs to catch. Today we cover two critical features for production apps: Persistence (Memory) and Human-in-the-Loop. Standard scripts lose all memory when they finish. LangGraph has a built-in Checkpointer system. It saves the State to a database (or memory) after every single step. This allows: Long-running conversations: Like ChatGPT threads. Resume on failure: If the app crashes, you can reload the state and continue. Time Travel: You can actually go back to a previous step and try a different path! import { MemorySaver } from "@langchain/langgraph";…  ( 7 min )

See Through Walls: AI's New Eye on Occluded Motion Ever struggle to get accurate motion capture when hands are intertwined, hidden behind objects, or even just slightly out of view? Standard computer vision systems often falter when faced with these real-world occlusions, leading to jerky animations, unreliable robotic control, and frustrating user experiences. But what if an AI could "see through" these obstructions and accurately track movement even when parts are hidden? The solution lies in a novel approach to visual feature extraction: a deformable state space model. Imagine it as a highly adaptable, intelligent filter that not only analyzes local features (like the edge of a finger) but also dynamically adjusts its focus to gather contextual information from the entire scene. This …  ( 7 min )

Kling AI is making waves in the generative AI space, pushing the boundaries of what's possible in video creation. Their latest innovation, VIDEO 2.6, is not just another iteration; it represents a significant leap forward, particularly with its groundbreaking feature: native audio. This release signals a pivotal moment for multimedia content generation, moving us closer to truly immersive and realistic AI-generated experiences.\n\nWhat exactly does \"native audio\" mean for VIDEO 2.6? Traditionally, AI video models often generate visuals, and audio is then a separate, often manual, post-production step or generated by a different model and then synched. This approach can lead to disjointed experiences, where audio and video don't feel organically connected. VIDEO 2.6 changes this by integr…  ( 11 min )

4-Day Series - Agentic AI with LangChain/LangGraph - Day 0 Welcome to the 4-day series on building Agentic AI applications with LangChain and LangGraph in Node.js. Node.js: Ensure you have Node.js installed (v18+ recommended). API Keys: Create a .env file in the root directory (copy from .env.example). Add your OPENAI_API_KEY. (Optional) Add TAVILY_API_KEY if you want to use real search in Day 3 (code defaults to mock). npm install This series is designed to take you from basic LLM interactions to building a production-ready, human-in-the-loop agentic workflow. Day 1: Foundations (RAG) Concepts: Embeddings, Vector Stores, Retrieval Augmented Generation. Goal: Build a "Smart Reader" that can answer questions about your private data. Run: node day1-foundations/1-simple-chat.js node day1-foundations/2-rag-chain.js Day 2: Intro to LangGraph (Agents) Concepts: StateGraphs, Nodes, Edges, Conditional Logic, Tools. Goal: Refactor the linear RAG chain into an autonomous Agent that decides when to search. Run: node day2-langgraph/agent.js Day 3: Multi-Agent Systems Concepts: Supervisor Pattern, Specialized Agents, Shared State. Goal: Orchestrate a team of agents (Researcher + Writer) to collaborate on a task. Run: node day3-multi-agent/team.js Day 4: Advanced Patterns (Persistence & Control) Concepts: Checkpointers (Memory), Interrupts, Human-in-the-loop. Goal: Add "Time Travel" and Human Approval steps to make the agent safe for production. Run: node day4-advanced/human-loop.js Next Post  ( 6 min )

Monetization Without Paywalls: The Future of AI Apps is Here with Monetzly The biggest challenge in the AI space today isn't just about building smarter applications—it's about monetizing them without alienating users. How do you keep your AI app free while generating sustainable revenue? Enter Monetzly, the first platform designed for developers to monetize their applications while enhancing user experience through conversation-native advertising. As AI applications explode in popularity, many developers find themselves grappling with a critical question: How can I generate revenue without imposing paywalls or subscriptions that frustrate my users? Traditional monetization strategies often lead to a trade-off: improved revenue versus user experience. But what if you could have both? Mon…  ( 7 min )

Argo CD is a declarative, GitOps-based continuous delivery (CD) tool for Kubernetes. It automates the deployment and lifecycle management of applications in a cluster by using Git repositories as the single source of truth for the desired state of the infrastructure. This article explains how to set up Argo CD and deploy an application in a Kubernetes cluster using the command line and manifests. Installed the kind with Cloud Provider KIND Installed ArgoCD CLI Kubernetes Cluster # kind-cluster.yaml kind: Cluster apiVersion: kind.x-k8s.io/v1alpha4 networking: apiServerPort: 6443 nodes: - role: control-plane - role: worker - role: worker - role: worker $ kind create cluster --config kind-cluster.yaml Creating cluster "kind" ... • Ensuring node image (kindest/node:…  ( 10 min )

I Didn't Build PRANKIX in 24 Hours. Kiro Did. Here's How. The Problem Party games never evolve. Same 6-10 games every time. There's no personalization. No AI. Just repetition. I wanted to build an app that generates infinite unique party games tailored to your group size, equipment, location, and vibe. But building something this complex? 28 screens, 6 games, real-time multiplayer, Gemini AI integration, Firebase backend? That's 6-8 weeks of work for a team of senior engineers. I didn't have 6-8 weeks. I had a hackathon deadline. Instead of jumping into code, I spent 4 hours writing the most comprehensive spec I could imagine. Not vague. Not high-level. Specific. I documented: Vision and problem statement All 6 game mechanics (Bluff Master, Cinematic Bluff, Word Fusion, Improv…  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections  ( 6 min )

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As Australia’s social media ban for children under 16 approaches, Meta has begun removing accounts from its platforms, including Instagram, Facebook, and Threads. The law, which will take effect from 10 December 2025, requires social media providers to keep underage users off their platforms or face a fine of AUD49.5 million (~RM134 million). Like Meta, […] The post Meta Removes Australian Children From Its Platforms Ahead Of Social Media Ban appeared first on Lowyat.NET.  ( 36 min )

Proton has previewed the eMAS 7 PHEV at the Proton Tech Showcase, marking the national automaker’s first-ever plug-in hybrid model. As reported earlier, the SUV is based on the Geely Galaxy Starship, and the unit displayed was a right-hand-drive demo car with production-spec glass panels. This strongly suggests that the vehicle is close to its […] The post Proton Officially Previews The eMAS 7 PHEV appeared first on Lowyat.NET.  ( 37 min )

Back in May, e-hailing service provider Maxim Malaysiawas first ordered to cease operations by the Land Public Transport Agency (APAD). Then in July, the agency said that Maxim will be allowed to continue operations, while still being under scrutiny. Earlier today, the e-hailing service announced that it has obtained “a final approval letter” from APAD. […] The post Maxim Malaysia Gets Final APAD Approval; Continues Legal Operation appeared first on Lowyat.NET.  ( 36 min )

Just a day after our report on Valve’s alleged work on bringing Steam to Android and ARM-based devices, some internet sleuths have discovered its alleged efforts in the matter. It also has a name: Lepton. As reported by GamingOnLinux, Lepton is supposedly the name of the bridge, which sounds about right. Just like how Intel […] The post Valve’s Android-Linux Bridge For Steam Is Reportedly Called Lepton appeared first on Lowyat.NET.  ( 36 min )

Proton has had a packed year, rolling out three new models: the X50, eMAS 5, and, most recently, the Saga. Yet the momentum isn’t slowing as the national automaker is already gearing up for its next debut of the eMAS 7 plug-in hybrid (PHEV). This was confirmed when the automaker released a teaser on 2 […] The post Proton Set To Expand Line-up With Upcoming eMAS 7 PHEV appeared first on Lowyat.NET.  ( 36 min )

Many modern smartphones, particularly photography-focused models, feature multiple cameras. When zooming in, these phones will switch between lenses. This leads to jumps and hue shifts as the devices make the swap. To address this issue, Tecno has unveiled a camera system with seamless, lossless optical zoom capabilities. Announced at the company’s Future Lens 2025 event, […] The post Tecno Unveils Telephoto Concept With Continuous 9x Optical Zoom appeared first on Lowyat.NET.  ( 36 min )

Thanks to the boom of AI in the world of tech – or at least in its current popular form, LLMs – prices of memory modules have been creeping up, to put it mildly. And while this may affect the average tech enthusiast when it comes to their ability to pay for these rising prices, […] The post Micron To Wind Down Consumer-Facing Crucial Brand To Focus On AI Market appeared first on Lowyat.NET.  ( 35 min )

Raspberry Pi is increasing the prices for several of its single-board computers, a sign that even the tinkerer-friendly boardmaker is not safe from the ongoing AI craze. The price hikes range between US$5 (~RM20) and US$25 (~RM82), depending on the model and included amount of RAM. “Over the years we’ve worked hard to hold down […] The post Raspberry Pi The Latest Victim Of AI Craze; Raises Prices On Products appeared first on Lowyat.NET.  ( 35 min )

This year’s batch of Huawei smartwatches includes the Watch 5 and the Watch Ultimate 2, with both models featuring eSIM support. Now, the brand has announced that users can now get eSIMs for the watches via the Maxis eSIM Connect Plan. This plan lets users share their primary mobile number and existing data allocation across […] The post Huawei Announces Maxis eSIM For Watch 5, Watch Ultimate 2 appeared first on Lowyat.NET.  ( 35 min )

Mercedes-Benz Malaysia has unveiled the Mercedes-Maybach S 580 4MATIC Night Series to the local market. This model, which is based on the standard Mercedes-Maybach S-Class, comes with refined luxury and sportiness to the sedan. Design-wise, compared to the normal model, the Night Series looks more aggressive and sportier with added elements starting with rose-gold detailing […] The post Mercedes-Maybach S 580 Night Series Arrives In Malaysia; Priced At RM2,404,888 appeared first on Lowyat.NET.  ( 35 min )

Bank Negara Malaysia (BNM) is preparing a long-term plan to gradually reduce its shareholding in Payments Network Malaysia Sdn Bhd (PayNet), the operator of the country’s core payment infrastructure. The Ministry of Finance (MOF) said the move aligns with the central bank’s goal of increasing market competition and strengthening industry leadership within Malaysia’s digital payments […] The post MOF: Bank Negara Malaysia To Reduce Stake In PayNet appeared first on Lowyat.NET.  ( 34 min )

Alibaba Cloud has partnered with AI-driven digital bank Ryt Bank and Proton New Energy Technology (PRO-NET) as part of its push to support Malaysia’s national digital transformation. The company, which serves as the digital and intelligence backbone of the Alibaba Group, announced the new collaborations yesterday during its Alibaba Cloud AI Day event in Kuala […] The post Alibaba Cloud Signs Partnership With Ryt Bank And PRO-NET appeared first on Lowyat.NET.  ( 34 min )

"Treasuries love that 4% to 4.1% trading range. Temporary break below more likely. But break above has more legs," the Dutch bank said.  ( 32 min )

Predict.fun aims to fix prediction markets’ biggest inefficiency, user funds sitting idle for weeks or months without earning yield, while tapping the large userbase of BNB Chain.  ( 32 min )

Entrée Capital unveiled a $300M fund prioritizing AI agents, DePIN and regulated Web3 infrastructure.  ( 31 min )

“The short-term setup has shifted into a choppy pullback, with markets watching whether BTC can stabilize within the $90,000–$91,000 support zone,” one trader said.  ( 33 min )

Ripple CEO Brad Garlinghouse predicts bitcoin will reach $180,000 by the end of 2026.  ( 30 min )

BTC's volatility meltdown offers bullish cues to the spot price.  ( 33 min )

Retail investors drove the rally, while whale transactions fell to their lowest in two months.  ( 35 min )

Maintaining support above $2.204 is crucial for continued upward movement, while a break above $2.22 could lead to further gains.  ( 33 min )

CryptoQuant’s latest report shows the company preparing for weaker conditions with smaller buys and a growing USD buffer, yet traders continue to price in a playbook built on reflexive accumulation.  ( 33 min )

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Instagram rolled out Collabs 2.0 in late 2025, and for once, the update actually matters. The original Collabs feature (remember that from 2021?) let two accounts co-author a post. Both profiles appeared in the header, both got the engagement metrics, both celebrated when it went viral. Simple enough. But it had limitations that made partnership content feel like trying to coordinate a group project where half the team can't access the shared document. Collabs 2.0 changes that. And if you're doing any kind of brand partnerships, influencer marketing, or just trying to grow your account through collaborations, you need to understand what's different. Let's start with what Instagram fixed, because the original version had some genuinely annoying gaps. First, you can now add up to four collab…  ( 13 min )

TL;DR: Se você está integrando IA (LLMs, etc.) no backend e fazendo várias chamadas externas de forma sequencial, está jogando tempo fora. Ao aplicar noções básicas de concorrência e paralelismo (Promise.all, limitação de concorrência, separação entre ingestão externa e leitura paginada), é perfeitamente plausível reduzir um endpoint de ~40s para ~8s sem trocar de stack — só usando fundamentos de computação. Nos últimos anos, ficou relativamente fácil “plugar” IA generativa em qualquer backend: basta chamar uma API, mandar o texto e receber a resposta. O problema é que, em produção, esse “basta chamar” rapidamente vira 40 segundos de espera num endpoint que deveria responder em poucos segundos. O que separa um endpoint lento e frágil de um endpoint robusto e rápido, especialmente quando en…  ( 14 min )

Publicado primeiro na newsletter do The Thinking Engineer. Se quiser receber o próximo no seu e-mail, se inscreva. A cena é comum. Você entra na reunião da sprint planning, ainda organizando mentalmente o backlog, quando alguém de produto abre a call e solta: Pessoal, precisamos colocar isso no ar até sexta. O slide aparece. Por três segundos, a sala fica num silêncio estranho. E é aqui que a engenharia começa a perder força: o time entra no modo executor antes mesmo de entender o problema. Esse pequeno desvio — quase imperceptível — é responsável por grande parte da dívida cognitiva, decisões de baixa resolução e entregas que resolvem sintomas em vez de causas. Quando reli O Programador Pragmático, uma frase me acertou como um lembrete incômodo: “Bons engenheiros não coletam requisitos — …  ( 9 min )

As an engineering manager responsible for keeping serverless, event-driven systems alive, I’ve learned to fear green dashboards. There is no worse feeling than seeing your main status page happily report “99.9% up” while Slack is full of screenshots from customers who can’t check out, can’t pay, or can’t log in and a senior leader is asking, “Why does everything look fine if the business is clearly on fire?” That’s the core problem: Global availability is a vanity metric. It smooths out the spikes. It tells you the system is fine, but it doesn’t tell you if the business is fine. In site reliability engineering (SRE), we like tidy global SLIs because they compress a lot of behaviour into one number. But that compression is exactly how pain gets hidden. If you have 1,000,000 requests and 1,0…  ( 11 min )

In the previous blog it's mentioned some benefits about of IaD and how this concept this wide used in cloud native, let me write in this post about KCL for create anything declarative manifest. KCL is an open source configuration and policy language, currently a Cloud Native Computing Foundation (CNCF) Sandbox project. It was created to overcome the limitations of static formats like YAML or JSON, especially in complex cloud-native environments. To achieve this, KCL combines the simplicity of a data language with the power of a modern programming language, allowing you to create abstractions, enforce validations through a constraint system, and automate large-scale data management. In short, you write in KCL to generate configurations for tools like Kubernetes and any tools that use yaml i…  ( 10 min )

Motivações e Melhores Práticas de Utilização Introdução e Objetivos Este artigo aborda o log sob a perspectiva de depuração e monitoramento de sistemas em ambientes de desenvolvimento e produção, distinguindo-se dos logs de auditoria. O objetivo principal da ferramenta de log é auxiliar no acompanhamento da execução do sistema, facilitando a identificação de erros e indicação de falhas críticas. A técnica de log consiste na geração de registros em diferentes destinos (arquivos, console, sistemas centralizados) para que desenvolvedores e analistas de suporte obtenham informações sobre processamentos importantes ou ocorrências de erros em produção. O monitoramento de logs é essencial para o diagnóstico de problemas. Tentar descobrir um bug em produção sem logs é como andar no es…  ( 21 min )

Can’t pay for a full Google Workspace account just to send and receive professional emails from your custom domain? You don't have to. We can use Cloudflare for inbound routing and Gmail's SMTP for outbound sending. This guide provides the complete, two-step stack to get your custom address, info@example.com, working flawlessly within your personal Gmail inbox. Part 1: Setting Up the Receiving Funnel (Cloudflare Email Routing) Before you can send mail from your custom address, you must configure your domain to correctly receive the verification email Google will send. Goal: Forward all mail sent to info@example.com to your personal your-name@gmail.com inbox. Access Email Routing: Log in to your Cloudflare dashboard, select your domain, and navigate to Email > Email Routing. Enable Email…  ( 7 min )

Most teams assume retrieval quality drops because embeddings or vector stores are failing. Chunking appears straightforward. Slice text into pieces, embed, and retrieve. This post walks through the root causes, detection signals, and stabilizing fixes. Short Answer Retrieval usually fails because chunk boundaries shift over time in ways nobody notices. What Breaks Chunking in Real Systems The issues below appear repeatedly across audits, ingestion pipelines, and multi-format corpora. Boundary Drift: Minor formatting or structural differences cause chunk boundaries to fall in new regions, breaking previously stable embeddings. Semantic Fragmentation: Chunks split mid-concept or mid-section, separating meaning that should stay together. Overlap Inconsistency: Overlap logic shifts across form…  ( 8 min )

I’m building OCR Trips — an obstacle course race trip planner that helps you: Discover races Plan trips Budget flights, hotels, and race fees in one place The “app” part (accounts and trip plans) runs on Supabase. Ow, yeah! 🏄 But for the MVP content, I didn’t want everything living in a database. Users would manually add races they know. That was the original idea: a lightweight trip planner where you plug in your next OCR and we help with flights, hotels, and budget. Then I thought: what if someone doesn’t have a race yet and needs help finding one? So I expanded the site with Obstacle Course Race Calendar — a public directory where anyone can: Browse obstacle course races by country and by city. See nearby airports and rough travel ideas Check typical weather for race dates Filt…  ( 8 min )

This is a submission for the Google AI Agents Writing Challenge: [Learning Reflections] This article was originally published on FAIRLYZ Knowledge Base. Nov 13, 2025 — by Patricia Buendia in AI, AI Governance, Data Security The Google AI Agents Intensive Course (First 5DGAI) debuted in March 2025 and returned in November 2025 (second 5DGAI), offering developers a front-row seat to the rapid evolution of agentic systems. The First 5DGAI course focused on foundational skills: writing prompts, training agents, customizing them using Retrieval-Augmented Generation (RAG), and deploying them via MLOps. Participants learned to fine-tune models and integrate external knowledge sources to improve agent performance. By November, the second 5DGAI curriculum had advanced significantly. Developers were…  ( 7 min )

Okay, here's the next part. And now I gonna talk about features that cross though the whole app such as: exceptions, dialogs, global events etc. I mean features whose behavior depends on others.The main concept is making some SSOT for global events and subscribe to it in the main module. And the Flows will help us for that goal. For this purpose I'll use SharedFlow. It was especially created for this kind of cases. Platform is only Android (not CMP/KMP) Our project is multi-module The features have their own screens Any feature can send some trigger The features are independent on each other As usual domain module is independent on each other. It's a keeper of interface GlobalRepository and enum GlobalEvent interface GlobalRepository { val eventFlow: SharedFlow fun se…  ( 7 min )

TL;DR Idempotent or fully reproducible Dockerfiles are frequently promoted as a best practice, but in most real-world engineering environments they are not the right objective. What teams actually need are: (1) immutable, traceable artifacts stored in a registry, and (2) regular CI rebuilds that continuously pick up security patches and updated dependencies. Idempotent rebuilds provide relatively little operational value when the original image artifact is preserved and addressable by digest. Reproducibility is still useful in specialized domains (regulated, research, high-assurance), but for mainstream application development it adds cost and complexity without commensurate benefit. Most Docker tutorials and security guides assert that building an image “should be idempotent and reproduci…  ( 9 min )

How to Build a Voice Bot for Car Dealerships Using VAPI TL;DR Most car dealership voice bots fail when customers ask off-script questions about inventory or financing. Here's how to build one that handles real conversations using VAPI's function calling + Make.com's CRM integration. You'll connect live inventory data, route qualified leads to sales reps, and handle appointment scheduling without human intervention. Tech stack: VAPI for voice AI, Make.com for workflow automation, webhook-based CRM sync. Result: 24/7 lead qualification that actually converts. Before building your voice AI for car dealerships, you need: API Access: VAPI account with API key (get from dashboard.vapi.ai) Make.com account (free tier works for testing) OpenAI API key for GPT-4 (required for natural c…  ( 16 min )

You remember that story I told you about avoiding Kubernetes for 2 years? The one where I said I was "intimidated" and then a client issue forced me to learn it and suddenly everything clicked? Yeah, I made it sound inspiring. Motivational even. Here's what I didn't tell you: I didn't just avoid Kubernetes because I was intimidated. I avoided it because every time I tried to learn it, I failed so badly that I questioned my entire career. That "pressure forced me to learn fast" moment? That wasn't a movie montage of me powering through with determination. It was me sitting in front of my laptop at 2 AM, tears running down my face, genuinely asking God if I was smart enough to do this job. The first version of this story was the polished version. This is what really happened. The part I was …  ( 13 min )

/* ------------------------------------------------------------- ONE BLOCK → ALL 56 tables with correct counts Works even on the most restrictive old ASE servers ------------------------------------------------------------- */ set nocount on go /* Use the safe maximum size – 8000 works everywhere */ declare @sql varchar(8000) select @sql = '' /* Build the query – we use CHAR(10) for line breaks so it never truncates */ select @sql = @sql + 'select ''' + o.name + ''' as table_name, count(*) from ' + db_name() + '..' + o.name + ' where INTERNTIMESTAMP >= dateadd(day,-10045,getdate())' + char(10) + 'union all ' + char(10) from sysobjects o where o.type = 'U' and exists (select 1 from syscolumns c where c.id = o.id and c.name = 'INTERNTIMESTAMP') order by o.name /* Remove the final 'union all ' + line breaks */ if len(@sql) > 20 select @sql = substring(@sql, 1, len(@sql) - 20) -- removes last 20 chars safely else select @sql = 'select ''No tables found'' as table_name, 0' /* Optional: see the full generated SQL (uncomment if needed) */ -- print @sql /* Execute it */ exec (@sql) go  ( 6 min )

select count(*) as "Number of tables that have INTERNTIMESTAMP column" from sysobjects o where o.type = 'U' and exists (select 1 from syscolumns c where c.id = o.id and c.name = 'INTERNTIMESTAMP')  ( 6 min )

A cluttered kitchen can slow down your workflow, just like a messy codebase slows down development. Developers know the value of organization, automation, and efficiency. The same principles apply to your home workspace and kitchen. Thoughtful kitchen accessories can help streamline daily routines, reduce wasted time, and improve focus — lessons developers can relate to. Developers thrive in clean environments. A messy kitchen sink, like a cluttered development environment, creates unnecessary friction. Magnetic sponge holders, utensil caddies, and drying racks keep essential tools in order. Developers can relate this to keeping IDEs, repositories, and scripts neatly arranged. The principle is the same: an organized setup reduces errors and improves efficiency. In software development, aut…  ( 7 min )

Modern developers face increasing demands. Projects are faster, software complexity is higher, and deadlines are tighter. A well-equipped home gym Coding often involves long hours at a desk. Sitting too long can cause back pain, shoulder strain, and fatigue. Small workouts during breaks improve circulation and energy levels. A proper home gym setup allows developers to integrate quick exercises without leaving their workspace. Ergonomic Grips Resistance Bands Adjustable Dumbbells Exercise Mats Angles90 designs tools for comfort and efficiency. Using ergonomic grips, resistance bands, or dumbbells improves blood flow. Developers can maintain better posture and reduce physical strain. Quick workouts refresh the mind, making coding sessions more productive. Physical activity has direct mental benefits. Improved circulation increases alertness. Short exercises reduce stress. Developers who use Angles90 accessories report better focus and fewer musculoskeletal issues. A strong, flexible body supports a sharp mind. Tips for Integrating Fitness into Coding Set short activity breaks every hour. Use resistance bands or grips at your desk. Keep dumbbells nearby for mini workouts. Perform stretches on an exercise mat. Track your activity to stay consistent. Developers can enhance both productivity and wellness with the right accessories. A home gym from Angles90 makes it simple to integrate fitness into daily routines. Ergonomic tools, resistance bands, and mats reduce strain and increase energy. Investing in Angles90 products is investing in better health and sharper focus for coding tasks. A simple setup with gym accessories can transform long hours at the desk into productive and healthier workdays. Stay active, reduce stress, and improve performance with Angles90.  ( 7 min )

I have always been fascinated by Computer Science and technology. Like many others, I have been using tools like ChatGPT for a while now. I used to think AI was just about asking questions and getting answers. But after exploring the Kaggle AI Agents Intensive, I realized that the future of tech is much bigger than just "smart chatbots." What Changed My Mind? LLMs talk: They are great at predicting text and giving information. Agents act: They can actually do things. The concept that an AI can use "Tools"—like searching the web or running code—was really exciting to learn. It feels like giving the AI a pair of hands to interact with the digital world. The Logic Behind the Magic Looking Ahead This was a short but powerful learning experience. I can’t wait to learn more and eventually build my own agents!  ( 7 min )

/* ------------------------------------------------------------- ONE SINGLE EXECUTION – works in DBVisualizer / isql / any tool Shows rows from last 45 days for every table that has INTERNTIMESTAMP ------------------------------------------------------------- */ declare @sql nvarchar(8000) -- use nvarchar if your ASE supports it (15.7+) -- or varchar(8000) on very old versions select @sql = '' /* Build the big UNION ALL query */ select @sql = @sql + 'select ''' + o.name + ''' as table_name, count(*) as rows_last_45_days from ' + o.name + ' where INTERNTIMESTAMP >= dateadd(day, -45, getdate()) union all ' from sysobjects o where o.type = 'U' and exists (select 1 from syscolumns c where c.id = o.id and c.name = 'INTERNTIMESTAMP') order by o.name /* Safely remove the trailing ' union all ' – no negative length */ if len(@sql) > 11 select @sql = left(@sql, len(@sql) - 11) -- removes last 11 chars else select @sql = 'select ''No tables found'' as table_name, 0 as rows_last_45_days' /* Execute it */ exec(@sql) go  ( 6 min )

First: what is Notte? Simply put, Notte provides a platform to build and deploy web agents that don’t break. By turning complex and repetitive web tasks into reliable self-healing workflows, businesses can scale automation with confidence. Notte exists because the web is still designed for humans, not agents. Pure web agents can navigate it, but while they excel on benchmarks, they’re unreliable and costly in production. Traditional scripts are faster and cheaper, but a single website tweak can break them entirely. Notte’s answer is Hybrid Agent Workflows: freeze the routine into deterministic steps; reserve LLMs for when adaptive reasoning is required. If a page changes out of hours, your flow doesn’t wait on you to redeploy - the agent adapts at runtime and carries the task to completi…  ( 9 min )

declare @sql varchar(8000) select @sql = '' select @sql = @sql + 'select "'+name+'" , count(*) from '+name+ ' where INTERNTIMESTAMP >= dateadd(dd,-45,getdate()) union all ' from sysobjects where type='U' and exists (select 1 from syscolumns c where c.id=object_id(name) and c.name='INTERNTIMESTAMP') order by name -- remove the trailing ' union all ' select @sql = substring(@sql,1,len(@sql)-11) exec(@sql)  ( 6 min )

Over the last couple of years, fitness has become a huge part of my life. I lost 45 kilograms through training, daily cardio, eating better, and staying consistent with my supplements. And even though I was motivated, there was one simple thing I kept messing up: I couldn’t remember which supplements I had taken each day. Some mornings I’d double-dose my omega-3 without realizing. Some nights I’d remember I forgot my multivitamin. Some days I’d start creatine loading… and then completely forget the next day. It sounds small, but when you’re serious about your fitness, these details matter. And I hated the feeling of being inconsistent after working so hard. That’s how GymDose started — not as an app for the world, but as an app for me. I tried using habit trackers, to-do apps, reminder a…  ( 8 min )

Introduction — Why I Joined the Agents Intensive When I enrolled in the Kaggle AI Agents Intensive, I had one goal: As someone working at the intersection of data engineering and healthcare, I wanted to see whether agentic architectures could meaningfully improve clinical research, where slow evidence synthesis costs time, money, and sometimes lives. The answer turned out to be yes, and the Intensive course gave me the exact structure, concepts, and building blocks I needed. The Problem — Healthcare Research Overload Clinical researchers are drowning in papers. This creates four fundamental problems: Too much literature to scan manually 2.Fragmented tools (PubMed to PDFs to spreadsheets) 3.No structured memory across searches 4.No reproducibility when using typical LLM assistants Healthcar…  ( 8 min )

If you're a developer, you've seen generative AI everywhere. It can feel like a complex world of models and advanced concepts. It can be difficult to know where to actually start. The good news is that building your first AI-powered application is more accessible than you might imagine. You don't need to be an AI expert to get started. This post introduces a new codelab designed to bridge this gap and provide you with a first step. We'll guide you through the entire process of building a functional, interactive travel chatbot using Google's Gemini model. Dive into the codelab and build your first AI application today! In this codelab, you'll step into the role of a developer at a travel company tasked with building a new chat application. You'll start with a basic web application frontend …  ( 8 min )

You can now use a YouTube video as the cover for your post—meaning it will appear above the title and feature prominently in the feed. Just go to create a post via /new, click Cover Video Link, and paste the URL! While YouTube is the most popular video embed, we also support Twitch (permalinked videos, not channel links) and Mux! Mux is primarily video infrastructure for developers, so sharing a direct Mux link isn't the standard use case. However, as developers, we wanted to ensure it was an option! We have a Mux Challenge running right now, so feel free to use this new functionality for your entry. DEV's Worldwide Show and Tell Challenge Presented by Mux: Pitch Your Projects! $3,000 in Prizes. 🎥 Jess Lee for The DEV Team ・ Dec 3 #showdev #devchallenge #muxchallenge #webdev In addition to the editor, you can add one of these links via the video_source_url attribute in the API! DEV is built on Forem, so all things Forem immediately have access to this feature as well.  ( 7 min )

Software development is rarely a solo activity. Each developer brings skills, experience, and insights — but the true power of a team comes from how those contributions interact and amplify one another. When a team is aligned around shared design principles, domain understanding, and goals, the result is more than the sum of its parts: 1 + 1 can equal 3. Continuous Integration (CI) was originally designed to support that kind of teamwork. By integrating code frequently, running automated tests, and catching issues early, it allowed developers to collaborate confidently without stepping on each other’s work. Over time, however, the industry’s use of merge requests, quality gates, and strict CI pipelines drifted from enabling collaboration to enforcing compliance. CI became a mechanism to in…  ( 10 min )

I’m not sure what’s keeping me alive anymore Coding is wild… Between bugs, breakpoints, and bursts of motivation, But here I am, still building, still learning, This is my little reminder: everything looks tough until it clicks. And when it finally does… it feels worth it.  ( 6 min )

-- Test just ONE table to see if anything works -- Replace 'YOUR_TABLE' with an actual table name from your 45 columns SELECT 'Test on: ' || table_name as test, (SELECT COUNT(*) FROM user_tables WHERE table_name = 'YOUR_TABLE') as stats_count, (SELECT COUNT(*) FROM "YOUR_TABLE") as actual_count, (SELECT COUNT(*) FROM "YOUR_TABLE" WHERE INTERNTIMESTAMP >= SYSDATE - 45) as recent_count, (SELECT MIN(INTERNTIMESTAMP) FROM "YOUR_TABLE") as oldest, (SELECT MAX(INTERNTIMESTAMP) FROM "YOUR_TABLE") as newest FROM DUAL;  ( 6 min )

I have an app on Railway that uses SQLite, and for a while I was manually SSHing into my project to query data whenever I needed it locally. What started as occasional checks became a daily interruption. When I decided to automate this with GitHub Actions, I expected a quick win, but I discovered that what worked on my local machine failed in CI. Even my favorite AI tools, goose and Claude Code, couldn't quite figure it out. They claimed the issues I encountered were underdocumented. After more time than I'd like to admit, here's what I learned. I chose SQLite because it was lightweight and I only needed it temporarily, but Railway doesn't expose SQLite databases to the internet (which is good). Unlike Postgres or MySQL, there's no connection string or public endpoint, so the database file…  ( 8 min )

-- First, verify the column exists in your schema SELECT table_name, column_name, data_type FROM user_tab_columns WHERE UPPER(column_name) LIKE '%INTERNTIMESTAMP%' ORDER BY table_name;  ( 5 min )

Disclaimer: this article shows my opinion and is not intended to be an absolute truth. During my short career, I saw countless times a developer picking at the code and yelling or mumbling to himself "what a shitty code". We all have gone through it, me the first. Even Robert C. Martin considered it as a metric of "bad code" in the book Clean Code ! Apart from the disappointment, this expression brings no constructive value: no explanation, no will to help your colleague be a better professional and is pure judgment. Moreover, it is also a dangerous expression because it can bring tension in the team. How your colleague would react if you say that to the code he just wrote ? Even if we look for less ego in our sector, no one would be happy to hear that. Even if you are in the perfect te…  ( 9 min )

Olá, sou William Líder de squad na InnSpire.dev, quero começar a escrever sobre minhas experiencias no mundo da tecnologia, já que são mais de 20 anos trabalhando nessa area, quero compartilhar meus conhecimentos, sim, um pouco tarde para isso, mas como dizem: antes tarde do que mais tarde ainda. E escolhi começar com uma das ferramentas que mais me deu dor de cabeça — e também as maiores vitórias: Jenkins. Já perdi dados, já quebrei pipelines, já fiquei até de madrugada resolvendo build travado… mas hoje tenho uma infraestrutura estável, barata e eficiente rodando na AWS. Neste artigo, quero mostrar como estruturamos Jenkins + Docker + AWS e talvez te dar alguns insights para montar algo parecido. Bom vamos lá, atualmente nosso servidor está dentro da AWS, na região da Virginia, é uma ins…  ( 7 min )

Anthropic didn't just buy a fast JavaScript runtime. They bought the one missing piece that turns Claude Code from a clever tool into a full-stack engine for how software will be built in the next decade. Yes, it's true. It's about control of the runtime layer at the exact moment AI agents begin writing, testing and shipping most of the world's code. Let's get straight to the point. Anthropic acquired Bun because Claude Code hit a billion dollars in revenue in six months but depended on a runtime they didn't control. Bun needed Anthropic because despite 7 million monthly downloads, it made zero revenue. This deal creates agent-native infrastructure where AI agents write code using a fast, single-binary runtime, fundamentally changing how software is built. Anthropic now controls both the r…  ( 10 min )

The Silent Killer of Developer Productivity As a developer, I know the frustration of waiting for a build. You push your code and instead of just looking at the screen, I switch to another task, lose context, and by the time the CI pipeline finishes, you've forgotten what you were working on. In my customer's case, this frustration had a very specific 30 minutes per build, mostly spent downloading Maven dependencies. Their setup wasn't unusual. They had GitHub Actions self-hosted runners spinning up on Amazon EKS for each triggered CI job. These runners needed Maven packages stored in their on-premises Nexus repository, connected via VPN. The architecture made sense on paper—until they measured the actual latency impact. The math was crystal clear. With dozens of developers triggering h…  ( 11 min )

Advertisers today pay an invisible 50% "AdTech Tax" on every dollar spent. For every $100 you put into programmatic advertising, less than $50 actually reaches the publisher. The rest is devoured by a murky supply chain of DSPs, SSPs, and data fees. For D2C brands operating on razor-thin margins, this inefficiency is a silent killer. The Core Concept: Traditional AdTech strategies focused heavily on media buying efficiency—bidding cheaper and targeting better. In 2025, with privacy regulations (GDPR, CCPA) and signal loss (cookie deprecation), the leverage has shifted. The new AdTech strategy is Creative Utility: using AI to generate high-volume, high-relevance ad creatives that lower CPA through engagement rather than just bidding mechanics. The Strategy: Successful D2C brands are moving …  ( 12 min )

The Problem We're Solving Let's be honest - mobile apps need to work offline. House hunters are going to be in basements, on subways, or in areas with terrible WiFi. They'll want to add house listings or take notes during open home viewings, and they shouldn't have to wait for a network connection. So how do we build an app that works seamlessly offline, but also syncs everything back to the server when connectivity returns? That's what we're diving into in my new app "MyNextHome". Our house hunting app has three main pieces: HousesContext - The brain that manages all the houses and handles syncing Add/Edit Form - Where users create new listings House Details Screen - Where users take notes on each house Everything is stored locally first (using AsyncStorage), then synced to the server w…  ( 9 min )

SET SERVEROUTPUT ON SET LINESIZE 200 BEGIN DBMS_OUTPUT.PUT_LINE(RPAD('TABLE_NAME',40) || RPAD('ROWS_LAST_45_DAYS',20) || 'TOTAL_ROWS (approx) %'); DBMS_OUTPUT.PUT_LINE(LPAD('-',100,'-')); FOR r IN ( SELECT table_name FROM user_tab_columns WHERE column_name = 'INTERNTIMESTAMP' AND data_type LIKE 'TIMESTAMP%' ORDER BY table_name ) LOOP DECLARE v_cnt NUMBER := 0; v_total NUMBER := 0; BEGIN EXECUTE IMMEDIATE 'SELECT COUNT(*) FROM "' || r.table_name || '" WHERE INTERNTIMESTAMP >= SYSDATE - 45' INTO v_cnt; SELECT num_rows INTO v_total FROM user_tables WHERE table_name = r.table_name; DBMS_OUTPUT.PUT_LINE( RPAD(r.table_name,39) || ' ' || LPAD(TO_CHAR(v_cnt,'99999999999'),18) || ' ' || LPAD(TO_CHAR(NVL(v_total,0),'99999999999'),18) || ' ' || ROUND(v_cnt/GREATEST(v_total,1)*100,2) || '%' ); EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE(r.table_name || ' → ERROR: ' || SQLERRM); END; END LOOP; END; /  ( 6 min )

Learn how you can use Gadget as an auto-scaling backend and database for mobile apps built in Swift. In the past, only web developers used Gadget's infra and benefited from the smooth developer experience. Swift developers are getting wise to the productivity gains. The Swifties are beginning to join the revolution and do double the work in half the time with the Gadget platform. In this little walk-through, we'll use Gadget to spin up a database and API in minutes. Then we'll get a Swift app to talk to the Gadget backend using auto-generated code from the Apollo iOS package. The Swift app we'll be building is a pushup tracking app. Users can log pushups, and see a graph of how many pushups they've done in a week. Gadget has a web-based editor like Replit, but you can also use the fram…  ( 12 min )

Como é feito a limpeza de dados, usando a poderosa biblioteca pandas? A limpeza de dados (data cleaning) é uma das etapas mais importantes na análise de dados, e o Pandas, biblioteca poderosa do Python, oferece diversas ferramentas para isso. Existem N fontes possíveis de dados, como Excel, CSV, SQL, JSON, entre outras. Para facilitar o aprendizado, hoje vamos trabalhar com arquivos Excel, que é mais simples e básico. import pandas as pd df = df.read_excel("nome_planilha.xlsx") // muito comum esquecermos da extensão. df = df.dropna(how="all") df = df.drop_duplicates() df = df.dropna() print(df.columns.tolist()) df = df.rename(columns={ "Valor Total": "valor_total", "Data da Venda": "data_venda" }) df["nome_da_coluna"] df[["nome_da_coluna", "coluna_tal"]] df = df.sort_values(by="nome_da_coluna", ascending=False) df = df.sort_values(by=["Data", "Valor"], ascending=[True, False]) Conjuntos de dados incompletos são extremamente comuns, seja ela uma planilha, banco de dados, etc, sempre vai haver, nomes incompletos, duplicidades, erros de digitações, e por isso temos ao nosso favor essa limpeza de dados, geramos qualidade, confiança e organização... Vem a exploração, transformação, análise, visualização de dados, relatório de métricas, e por último, a tomada de decisão. Documentação do pandas: https://pandas.pydata.org/docs/  ( 6 min )

Introduction: The New Frontier of Product Ownership Suzanne Alipourian-Frascogna emphasizes, “If you own the product, you own the threat model too.” This shift reflects a broader reality: cybersecurity is now inseparable from product ownership. This article explores how product managers can strengthen digital ecosystems by integrating security principles directly into product strategy. When PMs take the lead on cybersecurity, the result is not only safer products but more scalable and trusted ones. Traditional development processes often treat cybersecurity as something to evaluate near the end—an item on a pre-launch checklist or a concern revisited only after a breach. This reactive approach is costly, inefficient, and dangerous in a world where threats evolve continuously. According to …  ( 9 min )

-- Just copy-paste all of this into SQL*Plus and press Enter twice at the end SET SERVEROUTPUT ON SET LINESIZE 200 BEGIN DBMS_OUTPUT.PUT_LINE(RPAD('TABLE_NAME',40) || RPAD('ROWS_LAST_45_DAYS',20) || 'TOTAL_ROWS (approx) %'); DBMS_OUTPUT.PUT_LINE(LPAD('-',100,'-')); FOR r IN ( SELECT table_name FROM user_tab_columns WHERE column_name = 'INTERNTIMESTAMP' AND data_type LIKE 'TIMESTAMP%' ORDER BY table_name ) LOOP DECLARE v_cnt NUMBER := 0; v_total NUMBER := 0; BEGIN EXECUTE IMMEDIATE 'SELECT COUNT(*) FROM "' || r.table_name || '" WHERE INTERNTIMESTAMP >= SYSDATE - 45' INTO v_cnt; SELECT num_rows INTO v_total FROM user_tables WHERE table_name = r.table_name; DBMS_OUTPUT.PUT_LINE( RPAD(r.table_name,39) || ' ' || LPAD(TO_CHAR(v_cnt,'99999999999'),18) || ' ' || LPAD(TO_CHAR(NVL(v_total,0),'99999999999'),18) || ' ' || ROUND(v_cnt/GREATEST(v_total,1)*100,2) || '%' ); EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE(r.table_name || ' → ERROR: ' || SQLERRM); END; END LOOP; END; /  ( 6 min )

As a designer working on a Mac, I’ve always felt like the odd one out when it comes to remote USB access tools. Most of the well-known utilities I tried in the past were focused almost entirely on Windows — including the one I used for years from usb-over-ethernet When I switched my main workstation to macOS, that old software basically became useless. It didn’t receive updates anymore, support disappeared, and on top of that, my Linux render nodes still had no way to access my input devices remotely. At some point I started searching for alternatives and eventually came across USB Network Gate. I wasn’t expecting much, but it turned out to be one of the few options that actually works across different operating systems without strange workarounds. Right now, I can connect my 3D mouse or Wacom tablet to my Mac and let my Linux workstation pick it up over the local network. Nothing fancy — it just shows up and works, even though the systems are different. For my setup, that was exactly what I needed. If anything changes or I run into new issues, I’ll update this post. And if anyone knows of any other working alternatives for macOS + Linux, I'd be happy to try them and share my impressions later.  ( 6 min )

-- One-time script – just paste and run in SQL*Plus (or SQL Developer) SET LINESIZE 200 SET PAGESIZE 1000 SET SERVEROUTPUT ON COLUMN table_name FORMAT A40 COLUMN rows_last_45 FORMAT 99999999999 COLUMN total_rows FORMAT 99999999999 COLUMN pct FORMAT 990.99 BEGIN DBMS_OUTPUT.PUT_LINE( RPAD('TABLE_NAME',41) || RPAD('ROWS_LAST_45_DAYS',20) || RPAD('TOTAL_ROWS (approx)',22) || '% OF TOTAL' ); DBMS_OUTPUT.PUT_LINE( LPAD('-',110,'-') ); FOR r IN ( SELECT table_name FROM user_tab_columns WHERE column_name = 'INTERNTIMESTAMP' AND data_type LIKE 'TIMESTAMP%' ORDER BY table_name ) LOOP DECLARE v_cnt NUMBER := 0; v_total NUMBER := 0; BEGIN -- Exact count of rows from the last 45 days EXECUTE IMMEDIATE 'SELECT COUNT(*) FROM ' || r.table_name || ' WHERE INTERNTIMESTAMP >= SYSDATE - 45' INTO v_cnt; -- Approximate total rows from statistics (very fast) SELECT num_rows INTO v_total FROM user_tables WHERE table_name = r.table_name; -- Print result DBMS_OUTPUT.PUT_LINE( RPAD(r.table_name, 40) || TO_CHAR(v_cnt, '999,999,999,999') || ' ' || TO_CHAR(NVL(v_total,0), '999,999,999,999') || ' ' || TO_CHAR(ROUND(v_cnt / GREATEST(v_total,1) * 100, 2), '9990.99') || '%' ); EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE(r.table_name || ' → error: ' || SQLERRM); END; END LOOP; END; /  ( 6 min )

We are currently witnessing a fragmentation crisis in the AI ecosystem. You have your Logic Layer (the LLM—Claude, GPT-4, Gemini), your Interface Layer (Cursor, Windsurf, Claude Desktop, n8n), and your Data Layer (Postgres, local files, internal APIs, Slack, GitHub). Until recently, connecting these layers required a brute-force approach. If you wanted your LLM to access a database, you wrote a specific function call. If you switched from OpenAI to Anthropic, or from a Python script to a visual builder like Flowise, you often had to rewrite the integration logic. We have been treating LLMs like isolated processors, manually soldering wires to every peripheral device we want them to touch. The Model Context Protocol (MCP) changes this paradigm entirely. It is the architectural equivalent of…  ( 12 min )

The Problem Imagine you're building a search feature for a list of 2,000 products. Every time a user types a letter, your app filters the entire list and re-renders it. What happens? The input lags. The user's typing feels sluggish and frustrating. This is a common problem when dealing with heavy updates in React. What if we could tell React: "Hey, updating this list is important, but keeping the input smooth is MORE important"? That's exactly what useTransition does. useTransition is a React hook (introduced in React 18) that lets you mark certain updates as non-urgent. This means React can prioritize user interactions (like typing) over heavy rendering tasks (like filtering a huge list). const [isPending, startTransition] = useTransition(); startTransition: A function that wraps non-u…  ( 8 min )

Coaching Tips, Overcoming Adversity, and the Art of Growth This article explores how his methodology helps leaders enhance their coaching abilities, turn challenges into catalysts for development, and cultivate self-mastery as the engine of long-term effectiveness. 1. Coaching as a Foundation of Modern Leadership Listening Beyond the Surface Effective coaching begins with listening—true listening. Many leaders hear only enough to prepare a response, but transformative coaching requires listening to understand. This deeper form of attention creates trust, uncovers assumptions, and gives people permission to speak honestly. It also allows leaders to fully grasp the context before offering direction, reducing misunderstandings and improving decision-making. Asking Questions That Unlock Insigh…  ( 12 min )

This guide shows how to add two production-ready shortcodes to Eleventy (ESM): a responsive image helper using @11ty/eleventy-img and an inline SVG helper that lets you inject CSS classes. Here’s the final output generated in the DOM (fully handled by the shortcode): Follow these steps to get ready-to-use shortcodes in minutes: Install dependency npm i @11ty/eleventy-img Create the shortcodes module at eleventy/shortcodes/media.js (see below) Register it in eleventy.config.js and rebuild Use {% image %} for responsive images and {% svg %} for i…  ( 8 min )

Nobody likes the generic browser's error page — the kind that instantly breaks immersion and reminds users they’re looking at an unfinished feature. The good news? Django makes it surprisingly easy to replace those defaults with pages that feel polished and intentional. This post walks through two practical methods: Template-only overrides (drop in a file and you’re done) Fully custom error handlers (your own views, logic, and folder structure) 1. Template‑Only Overrides (the quickest improvement) Django has built‑in views for common HTTP errors: 404 — Page Not Found 500 — Server Error 403 — Permission Denied 400 — Bad Request These views are located at: django.views.defaults When these views run, they automatically try to load templates named exactly: 404.html 500.html …  ( 7 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* When a database needs to search, insert, or update records quickly, it relies on index structures. The B-Tree has been the standard index used by storage engines such as InnoDB (MySQL), SQLite, PostgreSQL (for many workloads), and countless embedded systems. How B-Trees Work A B-Tree organizes records in sorted order and splits data into pages, which are fixed-size blocks of storage. A page is the smallest unit of reading and writing between memory and disk. Typical page sizes: 4 KB or 8 KB (aligned with SSD block size) When you …  ( 8 min )

If you’re planning to build an online store with WordPress, WooCommerce is the easiest and most powerful way to start. But after installing it, the biggest confusion is always the same: “Which WooCommerce settings should I configure first?” In this guide, I’ll break down every important WooCommerce setting in a simple, real-world way — no complex jargon, just pure practicality. Let’s make your store ready for real customers. 1. General Settings – Your Store Identity This is where you set your shop’s basic information. Key options to configure: Store address → City, state, country Currency → INR, USD, etc. Thousand/Decimal separators → 1,000.00 or 1.000,00 Enable taxes if needed If your store location or currency is wrong, your entire checkout experience gets messed up. So set this carefu…  ( 7 min )

This article was reviewed and approved by MongoDB and was originally published in foojay.io and Delbridge Solutions. Imagine we are responsible for managing the MongoDB cluster that supports our country's national financial payment system, similar to Pix in Brazil. Our application was designed to be read-heavy, with one write operation for every 20 read operations. With Black Friday approaching, a critical period for our national financial payment system, we have been entrusted with the crucial task of creating a scaling plan for our cluster to handle the increased demand during this shopping spree. Given that our system is read-heavy, we are exploring ways to enhance the read performance and capacity of our cluster. We're in charge of the national financial payment system that powers a st…  ( 10 min )

well hello again to everyone reading this! hope you've all been doing well since the last time we have talked firstly, I learned that composition is really useful in terms of godot and how to handle similar things without doing much work When I do get through this hurdle, I will update you all in the next post Until then, as always, take care of yourself, be good to one another, and I'll see you all again soon!  ( 6 min )

Why Toronto's Symphony Scene is the Mental Health Prescription You Didn't Know You Needed Adnan Obuz AI Strategy Consultant | Digital Transformation Expert ・ Dec 2 #edwardobuz #mentalhealth  ( 5 min )

If you’ve ever worked with LLMs in real applications — especially with LangChain + TypeScript — you probably know the frustration: Broken JSON Extra text wrapped around JSON Random “creative” outputs Parsers blowing up in production I’ve personally gone through it all. Next.js, LangChain, Supabase Vector Store, Pusher, and more — I tried every prompt trick to force LLMs to follow a strict JSON structure. I told the model: “Return valid JSON only.” I added strict instructions. Nothing worked reliably. Prompts alone can never guarantee valid JSON. LLMs aren’t designed to obey formatting rules consistently. 2025, the solution finally became production-ready: The Fix: LangChain .withStructuredOutput() + Zod This combination forces the model to return: 100% valid JSON Fully typed data Schema-safe responses No extra text No formatting issues And the best part? Google Gemini OpenAI (GPT-4o, o-mini) Groq (Llama 3.1) Anthropic Claude 👉 How .withStructuredOutput() works internally Next.js 16 + TypeScript implementation shadcn/ui This guide is for anyone building AI-powered apps — chatbots, agents, extractors, RAG systems — where structure matters. Read the full guide: How to Force Perfect JSON Responses in LangChain with TypeScript (2025 Edition) About the Author Arfatur Rahman — Full Stack Developer from Chittagong, Bangladesh. Next.js, TypeScript, LangChain, Supabase, Pusher, and Google Gemini. Follow me for more guides on AI, LangChain, and modern web development.  ( 7 min )

Students and lifelong learners — struggling to keep up with lectures, assignments, or research? There’s a set of AI tools for students that can make your workflow smarter and faster. Tools like Mem.ai help organize notes, Perplexity.ai provides concise research answers, Recall.ai summarizes video lectures, Explainpaper.com simplifies dense papers, and Notion AI helps you plan and draft work efficiently. These tools are free to start, integrate easily into your daily workflow, and save hours of manual effort. Whether you’re coding projects, preparing research, or just trying to stay organized, adding AI to your study routine is a game-changer. Check out our full guide to discover how these hidden AI tools can transform the way you learn. Detail Review: https://napnox.com/ai-tools/secret-ai-tools-for-students/  ( 6 min )

Why I Built Endpoint: A Postman Alternative That Actually Understands Developers As a developer, I've spent countless hours testing APIs. Postman is popular, but it often falls short for real-world development workflows. Missing WebSocket support, slow performance, and a clunky interface led me to build something better. Endpoint is a native macOS API testing tool designed with developer experience in mind. It's not just another Postman clone—it's a tool that addresses the gaps developers face daily. Native WebSocket Support (Out of the Box) Most API testing tools treat WebSockets as an afterthought. Endpoint includes WebSocket support: Real-time connection management Message history with timestamps JSON formatting for WebSocket messages Connection state visualization Send/receive mess…  ( 8 min )

I know how devs building web apps often need to embed dashboards and are looking for ones that are easy to integrate and include interactivity. Something else to consider is low-cost scalability, meaning low resource costs. Serverless apps are the answer. One of them is called StyleBI, and you can embed interactive dashboards directly into your React app, enforce row-level security per user, and scale elastically without managing servers or paying for instances when no one is using the dashboards. It connects seamlessly to common data sources like AWS, Postgres, or Snowflake, giving your users real-time insights while keeping operational overhead low. Here’s a simple example of embedding: `import React from "react"; const Dashboard = () => { export default Dashboard; ` The idea is that with serverless BI you can focus on building features and delivering insights rather than managing infrastructure or wasting money. There is an open source version on GitHub.  ( 6 min )

This is a submission for the AI Challenge for Cross-Platform Apps - AI Acceleration I built a professional news aggregation application that demonstrates the power of AI-assisted development with Uno Platform. The app fetches and displays articles from multiple RSS feeds (New York Times, BBC News) with a beautiful Material Design 3 interface. Key Features: Dynamic news feed with 9 category filters (Technology, Business, Sports, etc.) Real-time search with 300ms debouncing Bookmark system with local persistence Full article detail view with browser integration Light/Dark theme support Responsive grid layout adapting from mobile to desktop API Used: RSS feeds from New York Times and BBC News (RSS 2.0 and Atom formats) Problem Solved: Users need a unified, elegant interface to browse news fro…  ( 10 min )

Sales teams waste hours every day jumping between Slack, email, and their CRM just to figure out what happened with a deal. Who talked to the client last? What did they say? The context is scattered everywhere. Apollo.io solved this by making its CRM truly collaborative. Sales reps can see exactly who's working on what, leave contextual comments right on deal records, and get notified when something important happens. No more hunting for information or stepping on each other's toes. The thing is, building real-time collaboration isn't simple. You need websockets for live updates, user presence systems, comment threading, and notifications that actually work. That's where Velt comes in. It handles all the collaborative complexity so you can focus on your features. In this tutorial, you'll l…  ( 19 min )

Table of Contents 1. Recap of Week 4 2. What Are Output Values in Terraform ? 3. Why Are They Useful and Where Do I Use Them ? 4. Adding Outputs to Our Configuration 5. Common Output Pitfalls and Tips 6. Deploy to Azure 7. Wrap-Up 1. Recap of Week 4 We created inbound security rules to control access to the VM and attached the NSG to the network interface to enforce those rules. We also used dynamic blocks to keep our configuration clean and avoid repeating ourselves when defining multiple security rules. If you missed Week 4, you can check it out the full post here. This week, we’ll shift our focus to output values and learn how to expose useful information from our Terraform deployments. For this week's .tf files, you can access them here. 2. What Are Output Values in Terraform ? Output …  ( 10 min )

Automated testing has become a core practice in modern software development. Today, testing doesn’t just happen on a local machine—it is integrated directly into Continuous Integration (CI/CD) pipelines, ensuring every code change is validated before reaching production. In this article, we explore and compare three widely used testing management tools within CI/CD environments: GitHub Actions, GitLab CI/CD, and Jenkins. Each one includes a real-world pipeline example so you can understand how test automation works in practice. Automated test executions help teams: Prevent bugs before merging code Detect regressions quickly Standardize test execution across environments Improve software reliability and delivery speed Reduce manual testing overhead Today’s development workflows exp…  ( 7 min )

🧪 API Testing with Postman and Newman Testing APIs has become an essential part of modern software development. Before connecting the backend with the user interface, we need to make sure every endpoint behaves as expected — returning the correct data, handling errors properly, and performing under different conditions. In this guide, we’ll explore how to apply Postman and Newman to automate API testing through a simple and realistic example. APIs are like bridges between different systems. When one part of an app sends a request, the API is responsible for sending the correct response back. If something fails here, the entire application can break. API testing ensures that: Each endpoint returns the right HTTP status code. The JSON data structure is consistent. Response times st…  ( 8 min )

#!/bin/bash # Ensure we're inside a git repo if ! git rev-parse --git-dir >/dev/null 2>&1; then echo "Not a git repository." exit 1 fi # Basic info TOP=$(git rev-parse --show-toplevel) REPO_NAME=$(basename "$TOP") CURRENT_BRANCH=$(git branch --show-current) REMOTE_URL=$(git remote get-url origin 2>/dev/null) # Parse Bitbucket owner + repo if [[ "$REMOTE_URL" =~ bitbucket\.org/([^/]+)/([^\.]+) ]]; then BB_OWNER="${BASH_REMATCH[1]}" BB_REPO="${BASH_REMATCH[2]}" else BB_OWNER="N/A" BB_REPO="N/A" fi # Default remote branch DEFAULT_REMOTE=$(git symbolic-ref refs/remotes/origin/HEAD 2>/dev/null | sed 's#^.*/##') # Remote branches REMOTE_BRANCHES=$(git ls-remote --heads origin 2>/dev/null | awk '{print $2}' | sed 's#refs/heads/##') # Remote tags REMOTE_TAGS=$(git ls-remote --tags origin 2>/dev/null | awk '{print $2}' | sed 's#refs/tags/##') echo "" echo "===== Git / Bitbucket Repo Info =====" echo "Local repo name: $REPO_NAME" echo "Local path: $TOP" echo "Current branch: $CURRENT_BRANCH" echo "Remote URL: $REMOTE_URL" echo "Bitbucket team: $BB_OWNER" echo "Bitbucket repo: $BB_REPO" echo "Default branch: ${DEFAULT_REMOTE:-N/A}" echo "" echo "---- Remote Branches ----" echo "$REMOTE_BRANCHES" echo "" echo "---- Remote Tags ----" echo "$REMOTE_TAGS" echo "======================================"  ( 6 min )

Introduction Terraform provides a powerful configuration language that allows you to build reusable, scalable, and environment-aware infrastructure. Three of the most useful features within Terraform’s expression system are conditional expressions, dynamic blocks, and splat expressions. Understanding these three concepts helps you write cleaner, more flexible code while avoiding duplication and complexity. This blog explains each expression in detail, including when to use them, when not to use them, and how they work together. Conditional expressions return one of two values depending on whether a given condition is true or false. condition ? true_value : false_value If the condition is true, the first value is returned. If the condition is false, the second value is returned. Similar …  ( 8 min )

A practical guide to observability TCO and cost reduction Zenith AI Labs ・ Dec 3 #observability #sre #clickhouse #devops  ( 6 min )

echo "Repo: $(basename `git rev-parse --show-toplevel`)" echo "Branch: $(git branch --show-current)" echo "Remote: $(git remote get-url origin)"  ( 5 min )

🎊 Announcement: Try our performance models for free, P-image and P-image-Edit, here. Just 1 second without compromising the quality! Generating high-quality visuals with state-of-the-art models is becoming increasingly accessible. Open-source models run on laptops, and cloud services turn text into images in seconds. These models are already reshaping industries like advertising, gaming, fashion, and science. But creating images is the easy part. Judging their quality is much harder. Human feedback is slow, expensive, biased, and often inconsistent. Plus, quality has many faces: creativity, realism, and style don’t always align. Improving one can hurt another. That’s why we need clear, objective metrics that capture quality, coherence, and originality. We’ll explore methods for evaluating…  ( 13 min )

For many engineering leaders, the observability bill has become one of the largest infrastructure expenses. OpenAI reportedly spends $170 million annually on Datadog alone. While most companies aren't operating at OpenAI's scale, teams consistently report that observability tools consume a significant portion of their total cloud spend, and the trend only goes in one direction: up. The root cause? SaaS platforms charge per gigabyte ingested, per host monitored, or per high-cardinality metric tracked. The more visibility you need, the more you pay. You're stuck choosing between understanding your systems and staying within budget. This model prevents you from being able to “send everything.” You can break this cycle by changing how you pay for observability. Instead of variable costs tied t…  ( 15 min )

When you start out learning object-oriented programming (OOP) in Python, inheritance feels like the obvious way to reuse code. You build a base class, extend it, and reuse its behavior. But as your software grows, you might start noticing that inheritance introduces tight coupling, rigid structures, and eventually... a mess. This post is about why composition is often a better choice than inheritance in large-scale Python systems, especially when you're building backend applications. We’ll start from the basics, then go into real-life backend scenarios to show how composition can help you write cleaner, more maintainable code. Inheritance means creating a new class that is a type of another class. It forms an "is-a" relationship. The child class (subclass) automatically gets the properties…  ( 9 min )

As developers, we spend our days solving complex problems. But somehow, the simplest tasks still break our flow: "What's 150 EUR in USD?" → Open Google "What time is it in Tokyo right now?" → Check world clock "When is 45 days from today?" → Open calendar, count manually "What's 18% tip on $85?" → Pull out phone calculator Every tab switch is a context switch. Every context switch costs focus. I kept thinking: why can't I just type what I'm thinking and get the answer? Most calculators are built for numbers, not questions. You can't type $150 + 20% tax into a standard calculator. You have to: Type 150 Multiply by 0.20 Add the result to 150 Remember what you were doing before And for currency? Time zones? Date math? Forget it. Those need separate apps entirely. That's the idea behind Octa —…  ( 8 min )

The breakthrough: Adding IndexedFaceSet support to parse vertices and face indices into THREE.js BufferGeometry. Kiro helped me: Debug the nested brace matching issue Build custom A-Frame geometry components Fix React re-render conflicts with A-Frame registration From "everything is a teal cube" → actual colored 3D shapes ✨ @kirodotdev  ( 6 min )

Let me guess: you've already read three articles this week about "optimizing for AI search" that basically said "just write good content" and called it a day. Right up there with "be yourself" as actionable advice. Here's the thing nobody's saying clearly enough: ChatGPT Search isn't Google with a chatbot interface. The ranking factors are different. The user behavior is different. The entire game changed, and most of us are still playing by the old rules. I've spent the last six months testing what actually gets cited in AI-generated answers versus what gets buried. The results surprised me. Some traditional SEO tactics still matter. Others? Completely irrelevant. And there are entirely new factors that didn't exist in the Google playbook. ChatGPT Search hit 10 million users faster than I…  ( 11 min )

Technical AI in Advertisement Challenge: "Dynamic Ad Placement with Contextual Relevance" The goal of this challenge is to design an AI system that can optimize the placement of advertisements within a dynamic, interactive, and personalized advertisement environment. Constraints: Ad Contextual Relevance: The AI system must consider the user's past browsing history, current webpage content, and real-time search queries to determine the most relevant advertisement to display. Multiple Ad Platforms: The AI system must be able to integrate with multiple ad platforms, such as Google Ads, Facebook Ads, and OpenX. User Experience: The AI system must prioritize the user's experience by avoiding repetitive or intrusive advertisements and ensuring a smooth browsing experience. Real-time Processing: …  ( 7 min )

A hands-on comparison with real output snippets. If you read the previous post, you already have a general view of how Codex and Claude Code differ in approach. Now it's time to put them into a real scenario, same problem, two solutions. We asked both models to solve a simple but layered task: Given a JSON list of users, return only the ones with "active": true This is what happened. ## Codex Output — Fast, Direct, Minimal Structure Codex responded quickly and generated a working implementation: import json def get_active_users(data): users = json.loads(data) active = [u for u in users if u.get("active")] result = "" for u in active: result += f"{u['name']} - {u['email']}\n" return result # Example usage data = '[{"name": "Ana","email": "ana@mail.com","activ…  ( 7 min )

A slow retrospective on a season of writing, and the quiet transition now opening between fatigue, clarity, and the return to earth. Some life chapters end without a final scene. No slammed door, no staged farewell, no single sentence that closes the book. They finish the way dusk finishes: a slow dilution of light, almost unnoticed, until you realise the room has changed colour. This text is that kind of dusk. It records the suspension — not the death — of a cycle I never scheduled: three months during which writing became as involuntary as breathing, and twenty essays arrived the way dreams arrive, uninvited but insistent. Today the tide has withdrawn. To understand where it went, I have to retrace how it arrived. I came to dev.to without a plan, a metric, or a slogan. I carried onl…  ( 11 min )

Today marks the Day 10 of 30 Days of Terraform challenge and in this blog, we will deep dive into the Terraform Conditional Expressions, Dynamic Blocks and Splat Expressions. Terraform Expressions are something that helps us to avoid writing the code again and again. You can think this of a replacement or similar to functions in programming language. There are mainly 3 types of Expressions in Terrform such as Conditional Expressions, Dynamic Blocks and Splat Expressions Conditional Expressions as the name indicates evaluates a condition and returns one of two values based on whether the condition is true or false. Syntax condition ? true_value : false_value In the above conditional expression: ✅ Choose instance types based on environment (dev vs prod) ✅ Single configuration for multiple…  ( 10 min )

Stream released support for Google's new Gemini 3 models inside Vision Agents — the open-source Python framework for building real-time voice and video AI applications. In this 3-minute video demo, you'll see how to spin up a fully functional vision-enabled voice agent that can see your screen (or webcam), reason with Gemini 3 Pro Preview, and talk back to you naturally, all in pure Python. Install Vision Agents + the new Gemini plugin Use gemini-3-pro-preview as your LLM with a single line Build a live video-call agent that can see and describe anything on your screen in real time Customize reasoning depth (low/high thinking level) Get Started in 60 Seconds 1. Create a fresh project (we recommend uv). # Initialize a new Python project uv init # Activate your environm…  ( 8 min )

Introduction In today’s data-driven business environment, accurate data is the foundation of sound decision-making. For many organizations, big and small, Microsoft Excel remains one of the most widely used tools for data processing, analysis, and reporting. When properly used, Excel helps standardize data, automate calculations, and provide checks that reduce manual mistakes, playing a crucial role in improving data accuracy and minimizing costly business errors. This makes Excel not just a tool for organizing rows and columns, but a strategic asset for reliable information management. The Challenge: How Common Are Errors Without Good Practice Despite its ubiquity, Excel also has a reputation for being error-prone when misused. Recent research showed that about 94% of spreadsheets use…  ( 9 min )

I Created S3 Buckets Using ArgoCD , ACK with EKS Capabilities—No Controllers Installed. Jatin Mehrotra for AWS Community Builders ・ Dec 1 #aws #kubernetes #eks #reinvent2025  ( 6 min )

A post by SS  ( 6 min )

In advance I want to say: I won't sell you a bootcamp, I won't send you to a Udemy course and I don't guarantee anything. I just want to share my story with you 🥲, as I believe many people are struggling to get "DevOps" or "Developer" job in this market. The year is 2019. I was to just graduate from a university with a Master of Engineering degree in Computer Science. With this on my resume, three years of experience at Intel (although as an intern 😅) and published apps for Android with a modest ad revenue, I went into the job hunting spree. Checkboxes: ✅ Bachelor's degree, Master's is just a formality, ✅ 3 years of experience in Big Tech, ✅ Some Python experience from the above, ✅ Java experience from Android, ✅ Some PHP websites I built in high school as "the next Facebook", ✅ Entrepre…  ( 12 min )

AttributeError: 'int' object has no attribute 'title' in python This error means you’re calling the string method .title on a value that is actually an int, not a str. In other words, somewhere a variable you expect to be text holds a number instead. Variable shadowing. A name you used for a string earlier was reassigned to an integer, so later obj.title tries to run on an int. For example: name = "alice"; name = 5; name.title() → error. This commonly happens when reusing names like file, time, or data for different types at different points of the code. Wrong data shape. You indexed or pulled data from a dict/list/JSON where some items are ints and others are strings, then you applied .title blindly to all items. Type assumptions. User input or parsed values were cast to int (or l…  ( 8 min )

In this series, I'll share my progress with the 2025 version of Advent of Code. Check the first post for a short intro to this series. You can also follow my progress on GitHub. The puzzle of day 3 was a nice challenge. Of course, my simplistic solution for part one failed miserably when faced with the requirements of part two. Luckily, in the end I could solve both parts with a single function, which is always satisfying. My pitfall for this puzzle: Some stupid C++ mistakes. At some moment, I also began to doubt equality logic for std::pair, but a bit of debugging showed the error was in a different part of the code. #include #include #include #include #include std::vector loadInput(const std::string &filename) { std::vecto…  ( 7 min )

Conditional Expressions: condition ? true_value : false_value. This is useful for setting resource attributes based on variable values or other conditions. chose instances based on the environment (dev/prod) enable monitoring based on the configurations select different AMIs based on region example: // main.tf resource "aws_instance" "instance" { ami = "ami-0fa3fe0fa7920f68e" region = "us-east-1" instance_type = var.environment == "dev" ? "t3.micro" : "t3.small" count = var.instance_count tags = var.tags } // variables.tf variable "environment" { type = string default = "dev" } Splat Expressions: resource_type.resource_name[*].attribute. This is useful for retrieving attributes from multiple instances of a resource. example: // main.tf resource "aws_instanc…  ( 7 min )

Sorry for a long delay. Last month (Nov-2025) I have a flu that require many weeks to recover. I feel like this is the best productivity month I've ever done. I do this project alone and now I have a friend who will do with me. A 2D artist. Yes. Now it's a team. My project now has more promising. Changelog: Update drop rate stat config Update Mother sprite Enhance the UI stats with arrow for decreasing and increasing. Overhaul the movement mechanic. Remove joystick movement and replace with point-and-click movement. Add visual arrow for movement destination. User now can interact with items by clicking to. Block action when interacting. Have interacting time. Each item has its own interacted time. Update more interacting items: TV, Toilet, Toilet Sink, Fridge. Next planning: Overhaul the UI. Add VFX. Create more items. Have baby wonder-week. Baby AI. More challenges. Interactable item has black outline while selected item has yellow outline. https://youtube.com/shorts/VqfG5twOUGQ?feature=share  ( 6 min )

How to deploy a fully HA (High Availability) cluster completely isolated from the public network, managed via a Bastion? In the Cloud Native world, ease of access is often the norm. But for critical environments or simply to have complete control over your flows, isolation is king. My objective was clear: build a Kubernetes cluster that "doesn't talk to strangers". No direct exposure to the Internet, strict control of inputs/outputs through a single gateway, and secure administration. To achieve this, I chose Talos Linux (for its immutability and security) hosted on Proxmox (with a dedicated VXLAN network). Here's how I transformed three bare VMs into a High Availability (HA) cluster behind a Bastion. Before running any commands, let's set the stage. The challenge here isn't Kubernetes, …  ( 13 min )

I’m excited to join this community! I’m Amna, a tech learner who enjoys experimenting with AI tools, writing clean content, and building simple things that help people work smarter. Over the past few months, I’ve been exploring different AI writing and text-processing tools. I enjoy testing how they behave, how reliable they are, and how they can be improved for everyday users like students, bloggers, and developers. I also recently started working on a small project called Humanivio, where I experiment with humanizing AI-generated text. It’s been a fun learning experience and has taught me a lot about SEO, user behavior, and building helpful micro-tools. I’m here to: Share what I learn Connect with other creators Improve my skills Explore more open-source and AI-related discussions Looking forward to connecting with you all! 😊  ( 6 min )

Peace Thabiwa SUMMARY LAW-M is a multi-layered cognitive–mechanical theorem that defines how humans, machines, and environments exchange, predict, and synchronize time. It formalizes a truth modern engineering treats as an afterthought: every failure in high-speed systems is a failure of timing alignment, not a failure of components. In LAW-M, timing is not just a number — it’s a vector. H-Vector: Human biomechanics, cognitive delay, internalized time, sensorimotor loops V-Vector: Vehicle mechanical latency, drive-train inertia, response curves E-Vector: Environmental volatility, friction coefficients, atmospheric shifts LAW-M explains how these three timing worlds interact, fuse, drift, and misalign — and how the MindEye cognitive engine can stabilize them through patterned training, simu…  ( 134 min )

I grew up reading the gripping and petrifying narratives of R.L. Stine and spending way too much time playing story-driven video games. Now that I'm older, I've gotten into the TTRPG space because it hits a certain je ne sais quoi that tickles my lizard brain. I've also found that I'm not as good at coming up with ideas for adventures as I used to be. For anyone who has ever sat behind you laptop screen and keyboard, staring into the blinking cursor, you know the struggle: you have a cool concept, like "a Cyberpunk heist in a floating city," but when you try to flesh it out, you hit a wall. Naturally, we now can turn to AI for help. But here's the problem: standard LLMs are great at hallucinating generic tropes. You ask for a "scary forest," and you get the same old "twisted trees and whis…  ( 11 min )

Most AI-powered coding tools are excellent at generating code once… again. You update the spec, click "regenerate," and suddenly: Your custom logic disappears Your validation rules vanish Your test structure no longer matches Your handlers and models drift apart This is the regeneration trap. In this article, we'll break down: Why regeneration fails in traditional tools How ASA's deterministic pipeline prevents code loss The slice-based architecture that eliminates drift A real example showing safe regeneration Why determinism is essential for multi-agent AI workflows Here is the typical lifecycle developers experience with most generators: Day 1: Generate scaffolding → looks great Day 2: Implement business logic → feels great Day 3: Requirement changes → regenerate → everything is gone T…  ( 8 min )

If you’re running a website in 2026, you probably care about security. You might have HTTPS, HSTS, CSP, maybe even a bug bounty program. But there’s a tiny text file most sites still miss: /.well-known/security.txt It’s a simple file that tells security researchers how to contact you if they find vulnerabilities on your site. In this post, I’ll explain: What security.txt is (in human words) Why it matters even if you don’t run a big security team What goes inside the file How to generate one in a couple of minutes using a browser-based tool How to deploy it on common setups (static site, Laravel/PHP, .NET/IIS, etc.) No security team required. Just you, a text file, and a few minutes. security.txt? security.txt is a proposed standard (RFC 9116) for publishing security contact information …  ( 11 min )

Building a production-ready multi-LLM platform in weeks, not months When I set out to build Mirmer AI, I had an ambitious vision: resurrect the 400-year-old peer review process that built modern science, and run it at machine speed with AI models. The concept was simple but the execution was complex: Stage 1: Multiple AI models respond independently Stage 2: Models anonymously peer-review each other's responses Stage 3: A chairman model synthesizes consensus But here's the reality check: I'm a solo developer. Building this meant: FastAPI backend with async orchestration React frontend with real-time streaming PostgreSQL database with dual-mode storage Python SDK with sync/async clients CLI tool with browser-based authentication Payment integration with Razorpay Firebase authentication Dep…  ( 12 min )

As developers and engineers, we're obsessed with building products that solve real problems. We live in a world of logic, APIs, and elegant code. So when 'marketing' comes up, it's easy to tune out the fluff. But what if we looked at marketing—specifically customer stories—as the ultimate validation of our work? A great video testimonial isn't just a sales tool; it's a narrative about a problem solved. It's the human-centric output of our technical input. It’s proof that the product works. Let's deconstruct seven examples from top SaaS companies and see what we, as builders, can learn from them. Direct User Feedback: Testimonials are a distilled form of user feedback, highlighting the 'aha!' moments and core value props that resonate most. Product Validation: They prove you're not just…  ( 9 min )

We know that n8n is vibe tropic at now but why n8n is considered a pioneer in business automation, how it empowers both enterprises and AI developers with flexible, cost-efficient workflow orchestration, and see a clear comparison of similar tools — ranking them by price, performance, and scalability. https://medium.com/@hasanmcse/why-n8n-the-next-gen-automation-engine-2c2e9b35bd1e?sk=0e76a8b813e588d8d4ef4a8dc1cc6fc8  ( 6 min )

I would like to ask the expert devs here. If you would prefer to use a system where you have to learn multiple ISAs, internal structure and possibly programming languages? If you had a system where multiple architectures, where each one could be a generalist or a specialist specializing in doing one thing most efficiently but each one needed to be programmed differently with each having it's own internal structure, would you use it with a team?  ( 6 min )

The article was initially published on the Skyvia blog. Data’s all around us — from CRM systems and cloud apps to spreadsheets and data warehouses. But when your team’s wrangling numbers across 15+ platforms and spending more time copy-pasting than analysing, the real issue is a broken data flow. Here’s a quick breakdown of how to pick a pipeline tool in 2025, what to look for — and where a no-code alternative like Skyvia can really ease the load. A data pipeline is simply the process of moving data from one place to another, often transforming it along the way so it ends up clean, consistent and ready to use. In practice this means: grabbing data from SaaS apps, databases, APIs or spreadsheets cleaning, normalising or reshaping it (dedupe, convert, standardise) loading it into a des…  ( 9 min )

In the early days of microservices, “small and independent” sounded simple enough. Teams broke apart their monoliths, spun up a dozen new services, and declared victory. Then came the reality: too many services, endless integration pain, duplicated logic, and distributed complexity that nobody asked for. Somewhere along the way, the word “micro” became misunderstood. It was never about size - it was about boundaries. So, what does “micro” really mean? Let’s start with a misconception: microservices are not defined by lines of code. A microservice with 500 lines can still be too big - if it mixes domains. The essence of a microservice lies in independence: It can be developed and deployed independently It owns its data It exposes clear contracts It doesn’t need other …  ( 8 min )

Are you into competitive programming? Tired of missing contests across Codeforces, LeetCode, and CodeChef? Contest Clocker is a free, lightweight Chrome Extension that helps you stay on top of upcoming contests with smart reminders, calendar integration, and powerful filtering — all in one click. 🔗 Install from Chrome Web Store 🌐 Website As a developer who regularly participates in contests and interview prep, I found myself constantly switching between platforms and forgetting start times. That’s when I built Contest Clocker – a zero-friction solution to get notified, filter contests, and sync them to your Google Calendar. ✅ Multi-Platform Support: Codeforces, CodeChef, LeetCode (more coming!) 🔔 Smart Notifications: 15 min / 1 hour / 1 day before contest 📅 Add to Calendar: 1-click …  ( 7 min )

Self-Hosting with Stormkit: User Management" - Stormkit Learn how to manage user access to your self-hosted Stormkit instance. Configure sign-up modes, whitelist domains, and approve or reject user registrations. stormkit.io  ( 6 min )

As a developer, I frequently need to quickly track a list of tasks, and most of the time, I don't need the full-featured project management capabilities of solutions like Basecamp, Notion, Todoist, and others. I tried almost every tool, from Apple Reminders to Basecamp, but I either failed to manage my tasks properly or the features and complexity of the bigger tools overwhelmed me. To solve this, I created GoalHappy, a simple task manager app. Features No login required, start managing your tasks right away If you need cloud sync, create a free account and get 50 tasks synced for free PWA - Use cross-device (offline), and get your tasks synced when online If you need to manage a lot of tasks and lists, and also want to share the lists for collaborative work, the paid version is just $2 per month or $18 per year I believe that, as a developer, you will love GoalHappy. Everyone reading this post can use the coupon code DEVFRIENDS to get 100% off the pro version of GoalHappy for 1 year. The coupon code is valid for a limited time. Looking forward to constructive feedback from fellow developers.  ( 6 min )

Introduction Many developers believe that in 2025, we are too advanced to see simple SQL Injection vulnerabilities anymore. Well, while browsing the functionalities of a well-known TF2 trading site, I discovered that old habits die hard. How did I find the bug? On the Item page there is a navigation feature allowing users to jump to a specific page of listings. Pressing the "..." button triggers a pop-up where you can manually input the page number. Naturally I wondered "Does it trust my input?". Instead of a number, I inputted the character "e". The application didn't handle it gracefully, instead of a generic 404 or soft error the site threw a Fatal Error exposing massive amount of sensitive information. What did we get here? Database Error Code: "SQLSTATE[42000]" Database Type Logic…  ( 7 min )

I thought my .gitignore files were fine. Most of us probably do. You drop in a template, add a couple of custom patterns and believe everything is fine. Except it often is not. Typos slip in. Old entries linger. Some lines silently match nothing at all. Others match far more than you expect. I only realised this when I accidentally uploaded a file that should never have been in the repo. Unpicking it from multiple commits was a nightmare and it sent me down a rabbit hole. To understand what was going on, I needed a quick way to see which patterns were actually matching something in my workspace. The real numbers. Which is how IgnoreLens was born. IgnoreLens gives you a live insight into your .ignore files. It shows: how many files each ignore line matches which patterns match zero files places where you may have typos or dead entries It simply shines a light on the reality of your ignore rules so you can tidy them up with confidence. Marketplace: https://marketplace.visualstudio.com/items?itemName=ignore-lens.ignore-lens OpenVSX: https://open-vsx.org/extension/ignore-lens/ignore-lens It is my first VS Code extension, so if you have thoughts, feedback or ideas, I would love to hear them.  ( 6 min )

Tips From 15 Newsletter Writers On How To Build Your Own Newsletter writers with a combined audience in the hundreds of thousands share their top tips for building a successful publication. Lenny Rachitsky and Li Jin emphasize that success starts with producing consistently valuable content that is 10x better than anything else on the topic. Alex Taussig and Leon Lin advise writers to let authenticity and personality be the soul of their writing to stand out and connect with readers. Experts recommend spending significant time crafting compelling titles and hooks to draw readers in from platforms like Twitter. 👉 Read full article  ( 6 min )

Introduction: Why Your VPN Stops Working In the era of total network control and DPI (Deep Packet Inspection), standard solutions for ensuring availability (like OpenVPN or classic Shadowsocks) are quickly blocked. Regulators have learned to analyze traffic, even when it’s fully encrypted. In this article, we will examine the L-Security Cloud Tank architecture—a solution that makes blocking not just difficult, but economically and technically infeasible. Our approach combines protocol obfuscation with adaptive, geo-dependent Collateral Defense. The Protocol Shield: Defeating DPI The goal is simple: make the traffic indistinguishable from ordinary website browsing. Utilizing VLESS/V2Ray with WSS/TLS We use the VLESS (VLess over TCP) protocol with the WSS (WebSocket Secure) transport layer, …  ( 8 min )

There's been a wave of articles lately about TOON (Token-Oriented Object Notation), many proclaiming it saves "50% tokens" or calling JSON "outdated" for LLM applications. I've spent some time analyzing the actual numbers. The verdict? TOON is genuinely useful—but the marketing oversimplifies reality. Let me set the record straight so you can make informed decisions about when to use it. Here's the uncomfortable truth that many TOON articles gloss over: the "50% savings" figure is typically measured against formatted JSON (with pretty-printing, indentation, and whitespace). But real-world API calls and LLM prompts use minified JSON. When you compare against minified JSON - which is what you're actually sending to your LLM—the picture changes dramatically: Data Type vs Minified JSON Real…  ( 9 min )

WebSockets provide a powerful way to enable real-time, bidirectional communication between clients and servers. In this article, we'll explore how to implement WebSocket clients using the deboa-extras crate, a lightweight and flexible HTTP client library for Rust. The deboa-extras crate extends the core deboa HTTP client with WebSocket capabilities, making it easy to establish WebSocket connections and exchange messages in real-time. It's built on top of the hyper library and provides an ergonomic API for WebSocket communication. First, add the necessary dependencies to your Cargo.toml: [dependencies] deboa = "0.1.0" deboa-extras = { version = "0.1.0", features = ["ws"] } tokio = { version = "1.0", features = ["full"] } To create a WebSocket connection, you'll use the WebsocketRequestBuil…  ( 8 min )

From phones and laptops to home appliances and automotive dashboards, LCD screens appear in almost every kind of modern electronic device. Although we use them daily, the way they create sharp images and vivid colors is not always obvious. This article explains the fundamentals of LCD technology—its core layers, how liquid crystals modulate light, how backlighting works, how a pixel is formed, and the different LCD panel types found in practical applications. An LCD screen is built from several functional layers arranged to control how light passes through the display. Three main components form the basis of every LCD: Backlight – the light source behind the panel Liquid crystal layer – a thin structure made of liquid crystal cells Color filters – red, green, and blue sub-pixel filters…  ( 8 min )

Overview This article explains how we’ve revamped our product analytics frontend tracking at Super using Avo 📊. For a long time, we relied on Google Sheets to document frontend events, which led to unclear ownership, inconsistent schemas, and slow, manual QA in Segment. We’ve since moved to Avo’s Tracking Plan and Inspector, giving us a single source of truth, a proper branching and peer review process with developers, and automated validation. Accurate tracking is essential for reliable data monitoring. It helps us confirm that newly released features work as expected, identify and fix bugs, and optimise key user journeys – for example, the funnel for the Super Credit application. When tracking goes wrong, the symptoms can vary: Missing events Missing properties Typos in property valu…  ( 9 min )

The Multi-Account Reality Check In modern cloud architecture, multi-account strategies are the norm. We separate development from production, and often centralized shared services into their own hubs. A very common scenario is having a central "Security" or "Shared Services" AWS account holding sensitive database credentials in AWS Secrets Manager, which need to be accessed by a Lambda function running in a completely different "Workload" account. It sounds simple on paper: Create the Secret in Account A. Attach a resource policy to the secret allowing Account B to read it. Give the Lambda in Account B IAM permission to read the secret. You deploy your Terraform, invoke your Lambda, and... fail. You get an AccessDeniedException or a vague KMS error. I recently ran into this exact wall. H…  ( 8 min )

Anthropic just acquired Bun. First acquisition ever for the company behind Claude and Claude Code. Most takes I've seen focus on speed. "Claude Code needs fast tooling." "Milliseconds matter at scale." That's not wrong, but it's not the interesting part either. The interesting part is what this signals about where AI development is headed. Let's dive in! Bun is a JavaScript runtime that's faster than Node.js. It's also a package manager, bundler, and test runner—all in one. It's open source, MIT-licensed, and has about 7 million monthly downloads. Anthropic makes Claude. Their coding tool, Claude Code, has been growing fast—it hit $1 billion in annual run-rate revenue six months after public launch. That's not a typo. Six months. Here's the connection: Claude Code ships as a Bun executabl…  ( 9 min )

We tested five SERP APIs with standardized benchmarks to find which performs best for different use cases. Exa delivered the fastest responses at 1.180 seconds with semantic search over a proprietary index at $5 per 1,000 queries. Tavily aggregates and parses content for LLM applications. Scrapingdog offers the lowest per-request pricing at under $0.001 at scale. SerpAPI provides the broadest coverage with 20+ search engines. Scrapingbee bundles SERP access with general web scraping. This comparison helps you choose a SERP API for SEO monitoring, AI agents, RAG applications, or price comparison tools. Each section includes benchmark data, pricing breakdowns, and code examples. We tested five SERP APIs using this Python benchmark script that measured response time, success rate, cost, and f…  ( 21 min )

There’s a pattern I keep seeing in the developer world today: many people begin their journey by jumping straight into JavaScript frameworks. I’ll be honest — I made this mistake myself. When I first started coding, I jumped straight into JavaScript frameworks without really understanding the fundamentals of the web. I loved building fast, interactive apps and experimenting with all the latest tools and libraries. But underneath all of that, I was ignoring the basics — especially accessibility. I used for buttons. for headings. I styled everything to look right, but nothing had real structure or meaning. It took time (and a few painful code reviews) for me to realise something important: Frameworks change. The web does not. Once I understood that, it completely changed th…  ( 9 min )

Java's expm1() Method: The Hidden Gem for Flawless Exponential Math (No, Really!) Alright, let's talk about something in Java that sounds like boring math but is actually a low-key superhero for writing correct and precise code. We're diving into Math.expm1(). If you're like most devs, you've used Math.exp(x) a bunch. Need e^x? Cool, Math.exp(x), done. But what about when you need e^x - 1? Your brain instantly goes, "Easy, Math.exp(x) - 1." I get it. It seems logical. But here's the kicker: for tiny values of x, that simple subtraction can be a silent data assassin. That's where Math.expm1(x) swoops in. It's not just a niche function; it's a fundamental tool for writing robust numerical software. Let's break down why, without the jargon overload. What Exactly is Math.expm1()? e^x - 1 (th…  ( 10 min )

As AI evolves beyond single turn prompts and chat based interactions, a new question is becoming central to developers, engineers and AI architects : What is Agentic AI architecture? The rise of multi step reasoning, autonomous task execution and interconnected systems of AI agents has created a new architectural model , this is not just to generate information, but to act, decide and operate within complex digital environments. This guide breaks down : what agentic architecture is what AI agent architecture looks like the difference between agent architecture and LLM prompts modern patterns like agentic RAG architecture diagrams for understanding real agentic AI systems how these architectures power enterprise and production applications What Is Agentic AI Architectu…  ( 8 min )

Transactions Aren’t Enough: The Need For End-To-End Thinking (5 min)🤝 https://blog.allegro.tech/2025/12/transactions-arent-enough.html Introduction to JVM Method Profiling (11 min)👤 https://softwaremill.com/introduction-to-jvm-method-profiling/ What if Java didn’t have modCount? (13 min)🔀 https://donraab.medium.com/what-if-java-didnt-have-modcount-60f1bba9f3ff Spring Boot Built-in API Versioning (12 min)🏷️ https://piotrminkowski.com/2025/12/01/spring-boot-built-in-api-versioning/ Treat test code like production code (5 min)⭐ https://blog.ploeh.dk/2025/12/01/treat-test-code-like-production-code/ My second Cloudflare Tunnel (2 min)🚇 https://blog.frankel.ch/second-cloudflare-tunnel/ Beyond Regex, Hello AI: Smarter Spring Validation with Semantic AI Validator (14 min)👮 https://softwaremill.com/beyond-regex-hello-ai-smarter-spring-validation-with-semantic-ai-validator/ Quickstart: Run an MCP Server on JVM and Integrate with Copilot (8 min)🔌 https://blog.allegro.tech/2025/12/mcp-server-jvm-copilot-quickstart.html  ( 17 min )

AWS Data Cataloguing Cataloguing Data in AWS Using Glue Crawlers: A Practical Guide for Data Engineers Introduction In modern data engineering, one of the most overlooked but powerful capabilities is data cataloguing. Without a clear understanding of what data exists, where it lives, its schema, and how it changes over time, no ETL architecture can scale. In this guide, I walk through how to catalogue data using AWS Glue Crawlers, and how to structure your metadata layer when working with raw and cleaned datasets stored in Amazon S3. This tutorial uses a simple CSV file in an S3 raw bucket and walks through how AWS Glue automatically discovers its structure and builds a searchable, query-ready data catalog. You can replicate every step through your AWS Console and i…  ( 9 min )

Elementor Pricing Table Widget: Design High-Converting Plans for Your WordPress Site In the competitive landscape of online business, clearly and attractively presenting your services and products is paramount. Whether you're offering digital services, SaaS subscriptions, or physical product bundles, a well-designed pricing page can significantly influence a potential customer's decision. For WordPress users, Elementor stands out as a powerful page builder that simplifies this task, especially with its versatile Pricing Table widget. This article will delve into how you can leverage Elementor's Pricing Table widget to not only display your pricing plans professionally but also to entice visitors to convert into loyal customers. Understanding the Elementor Pricing Table Widget The Elementor…  ( 9 min )

AI + Small Teams = Unfair Advantage (Here’s the Playbook) Jaideep Parashar ・ Dec 3 #ai #design #webdev #discuss  ( 7 min )

For decades, building big meant hiring big. Large teams, large budgets, large offices, large burn. But in 2025, that equation has completely flipped. Today, small teams powered by AI are outperforming large organisations, not by working harder, but by working with leverage. This isn’t a trend. It’s a structural shift in how value is created. Here’s the real playbook behind why AI + small teams equals an unfair advantage, and how this advantage actually works. 1. Small Teams Move Fast. AI Makes Them Relentless Speed has always been a startup advantage. But now, AI multiplies that speed: Design in minutes Code in hours Test in real-time Market instantly Support automatically Analyze continuously Large teams slow down because of: meetings alignment approvals handoffs dependencies Small teams …  ( 11 min )

When I started building LogWard, I wanted more than just a log viewer. I wanted developers to have the same security detection capabilities that SOC teams use in enterprise SIEMs like Splunk or QRadar. But how do you implement security detection rules without reinventing the wheel? Enter Sigma: the open standard for detection rules that works across different log management platforms. Sigma is like "Snort rules for logs." It's a generic signature format that describes suspicious activity in a platform-agnostic way. Instead of writing vendor-specific queries, you write a single YAML rule that can be translated to: Splunk SPL Elastic Query DSL Microsoft Sentinel KQL ...and now, SQL for LogWard Here's a real example from SigmaHQ's repository: title: Suspicious PowerShell Encoded Command statu…  ( 9 min )

Photo by Daniel Seßler on Unsplash Recently, the number one use case for streaming responses is probably interactions with LLMs. It allows providing a better user experience in chat interfaces. Now it is possible to stream a response from Lambda functions using the API REST Gateway. It is big news, as previously streaming response from AWS Lambda has been working in a limited way. It was possible only using the Function URL functionality, and it didn't fit into all use cases. In this blog post, I will create a simple AWS Lambda that calls AWS Bedrock Model and streams the response back to the caller. I will use Rust to keep my Lambda small, fast and cheap. I am using rig.rs as my AI framework. Let' start from defining main function mod http_handler; use http_handler::function_handler; us…  ( 9 min )

Not all leaders raise their voices — some rise by raising their standards. I recently learned about Roshni Nadar, and her journey truly stayed with me. She wasn’t from tech. She wasn’t loud. And many assumed she succeeded only because of her name. But she chose a different path — learning quietly, working consistently, and proving herself through action. From a shy media professional to the first woman leading a major Indian IT company, her rise is remarkable. Her story reminds us: you don’t need noise to create impact — your work can be your voice. Which quality of Roshni inspires you the most — her calm confidence or her consistent growth?  ( 6 min )

We all have that friend - the one who checks BTC price before checking messages, explains halvings at parties, and casually says “I don’t hold fiat.” Nothing says “I care about your digital sovereignty” like a cold wallet. Here’s where things get futuristic. blockchain swagger. It’s flexible, secure, and way cooler than handing someone an envelope with cash. If they're the type to say “send USDT instead of flowers,” this is their gift. https://medium.com/@mcknighttyler486/how-i-applied-the-new-wb-check-by-whitebit-in-practice-69bd7a9ec6a2 From neon BTC signs to Ethereum-shaped coasters - Web3 decor is an entire ecosystem. Bonus points if it glows. Everything in crypto glows. 💡😎 Crypto people are weird. Happy gifting - and may your friends forever HODL your respect. 🚀  ( 7 min )

Table Of Contents What Are Backend Frameworks (And Why They Matter) How To Choose the Best Backend Framework Backend Frameworks Comparison Table Express & NestJS - the Node.js workhorses Django - batteries included for business apps FastAPI - type-first Python for modern data services Spring Boot - enterprise-grade Java reliability Laravel - PHP’s rapid-fire framework ASP.NET Core - cross-platform, cloud-ready speed Ruby on Rails - convention over configuration Gin & Fiber - Go for low-latency APIs Phoenix - real-time resilience on BEAM Emerging Backend Frameworks to Watch (2026) Architecture Patterns That Unlock Scale Performance Playbook by Framework Family Example Path: From Shortlist to Decision Closing Thoughts - Speed, Scale, And Smart Choices If your app feels slow, users vanish.…  ( 12 min )

AI Takes the Helm: Autonomous Task Assignment Revolutionizes Construction Imagine a construction site where deadlines consistently slip, costs balloon, and robotic teams struggle to coordinate, resulting in expensive downtime. Traditional optimization algorithms, while powerful, often buckle under the weight of real-world unpredictability and the dynamic nature of construction projects. What if you could replace rigid programming with an AI that dynamically adapts to changing conditions, optimizes resource allocation on the fly, and dramatically reduces project costs? That's the promise of a new AI framework utilizing large language models (LLMs) for robotic task assignment. Instead of pre-programmed routes and task sequences, the system leverages natural language reasoning to understand…  ( 7 min )

In her recent interview, Julia Kasper, co-founder and CEO of Zukunftmoor, argues that rewetting drained peatlands represents the single biggest climate opportunity in agriculture today. Although peatlands cover only about 3 % of the global land surface, they store more carbon than all the world’s forests combined. When peatlands are drained, a common practice for agriculture, they don’t just release CO₂ once; they leak carbon continuously, year after year. Restoring peatlands thus stops that “constant leak,” and rewetting them can turn a major source of emissions into a long-term carbon sink. But rewetting alone is not enough: farmers need viable, sustainable livelihoods. That’s where Zukunftmoor’s innovative approach comes in. They propose combining rewetting with cultivation of Sphagnum moss — a natural plant of peatlands — which can serve as a sustainable substitute for extracted peat in horticultural substrates. This turns rewetting from a purely ecological restoration act into a market-driven, economically viable land-use model. By using drones or hand-seeding methods, and developing harvesting and substrate-supply chains, the approach offers farmers a low-input, long-term pathway to maintain income while restoring degraded peatlands. With this combination of climate mitigation and practical agriculture, Kasper’s vision offers peatland regions across Europe a concrete alternative to drainage-based farming — one that aligns environmental restoration with economic viability. Original article published on Investing in Regenerative Agriculture.  ( 6 min )

Olá, 1) South Summit Brazil 2026 (25 a 27 de março de 2026, Cais Mauá, Porto Alegre) 2) Web Summit Rio 2026 (8 a 11 de junho de 2026, Rio de Janeiro) 3) Gramado Summit 2026 (06 a 08 de maio, Gramado, RS) Alguém de vocês participou desses ou de eventos similares no ano passado? Quais foram as impressões? Planejam participar de algum desses eventos neste ano? Obrigada pela resposta antecipadamente! Para mais informações e o calendário completo, veja: Nuvemshop Blog — Eventos de Inovação Nexuhub — Agenda Obrigatória das Startups em 2026 Sict RS — South Summit Brazil 2026  ( 7 min )

Introduction Microsoft Excel remains one of the most enduring and significant tools in the world of data analysis. Before the rise of sophisticated analytics platforms and business intelligence software, Excel was the starting point for many firms to investigate data-driven decision-making. As a spreadsheet tool, Excel helps users to organize, modify, and visualize data in ways that make patterns clearer and insights easier to discover. In contrast, business intelligence (BI) refers to the methods, tools, practices, and technology that transform raw data into meaningful information that is useful for making operational and strategic decisions. While BI has evolved, Excel continues to play a crucial role in bridging the gap between simple analysis and complex enterprise-level insights. Ex…  ( 8 min )

Java has evolved dramatically since the days of verbose anonymous classes. With Java 8, the language embraced functional programming through lambda expressions—and today, they're foundational: Streams, concurrency, collections, event handling, and reactive systems all depend on them. If you're a working engineer who wants cleaner, more maintainable Java code, mastering lambdas isn't optional—it's essential. Let's break down lambda expressions with real-world examples you can use immediately. A lambda expression is a concise way to implement a functional interface—an interface with exactly one abstract method. Before lambdas: Runnable r = new Runnable() { @Override public void run() { System.out.println("Hello from thread!"); } }; With lambdas: Runnable r = () -> System…  ( 9 min )

MDX Content: # Achieving Fast Response Times with Laravel and Nginx Achieving very fast response times with a Laravel app behind Nginx is mostly about avoiding bootstrapping PHP/Laravel on every request. You can accomplish this with: A 300 ms TTFB (time to first byte) for a small site with about 50 records is often caused by: Even with small datasets, the cost of spinning up the framework on every request is high compared to serving a static or cached response directly from Nginx. Nginx FastCGI cache is the key to implementing full-page caching in front of Laravel. It allows you to store the final HTML response on disk (or in memory) and serve it directly, bypassing PHP on subsequent requests. Conceptually, you need to: A typical configuration includes fastcgi_cache_path to define the cach…  ( 9 min )

(This article only discusses content safety for text generation, not multimodal.) Connecting AI inputs/outputs to a content‑safety filtering system is almost a must‑have feature for any AI gateway. For compliance, on the one hand, personal information in the context needs to be desensitized; on the other hand, certain inappropriate statements need to be sanitized. Most content‑safety filtering systems on the market work similarly: they take a piece of text and return processing results (whether to filter, which rules were violated, what text needs to be replaced, etc.). In fact, an AI gateway can have a dedicated content‑safety subsystem placed on the proxy path. Different content‑safety vendors are just different providers for this subsystem; only the integration formats and configs diffe…  ( 9 min )

I recently tried to implement a secure OTP-based email verification and password reset flow - only to realize how little concrete, end-to-end guidance is out there. Most write-ups simply skip the gritty parts because everyone seems to rely on external auth providers. I wanted something I could fully control, so I built a self-hosted solution from scratch while thinking carefully about OTP generation, hashing, crypto, race conditions and a smooth user experience. ⚠️ Disclaimer: These are just my personal notes and reflections, not exhaustive security guidance. Evaluate and adapt them to your own system requirements. Prevent email enumeration by making sure all requests take constant time. This can be implemented as a middleware that “sleeps” if a request takes less than a certain amount of …  ( 10 min )

A version of this article originally appeared in my personal blog on November 4, 2025 If you're working in a project that is in active development, it's very likely you perform many repetitive tasks that you have done before and will inevitably need to do again in the future. For instance, perhaps you often need to add functionality to your application that calls a given REST API, deserializes its JSON response into a DTO (Data Transfer Object), and then transforms it into a domain object that your app can consume. While the exact endpoint, data payload, and purpose may change from one instance to another, the actual steps in the implementation often remain largely the same. This type of process—fetching data, parsing it, and integrating it into your domain model—is so common in software d…  ( 10 min )

This article walks through building a Chrome extension from scratch using React, TypeScript and Vite. We'll build a Freelance Rate Calculator that helps developers check their market rate. This article includes: Setup React + Vite + TypeScript project for Chrome Extension Configure manifest.json for Manifest V3 Build calculator UI with Tailwind CSS Load and test extension locally Submit to Chrome Web Store Create new Vite project with React and TypeScript: npm create vite@latest rate-calculator -- --template react-ts cd rate-calculator npm install Add Tailwind CSS: npm install -D tailwindcss postcss autoprefixer npx tailwindcss init -p Configure tailwind.config.js: /** @type {import('tailwindcss').Config} */ export default { content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"], …  ( 9 min )

Central banks don't usually sound alarms about specific technologies. When they do, it's worth paying attention. This week, the Bank of England warned that a multi-trillion dollar spending boom in artificial intelligence infrastructure financed by debt risks unraveling given "materially stretched" stock market valuations. The Bank of England projects that approximately $5 trillion will be spent globally on AI infrastructure over the coming five years. Initially, Big Tech funded this build-out from their massive cash reserves. But that's changing fast. The Bank now estimates that nearly half of the $5 trillion expected to be poured into AI infrastructure over the next five years will come from external financing, particularly through debt markets. That shift matters enormously. When compa…  ( 8 min )

Three nations. One crown. $205 billion at stake. Welcome to Africa's most fascinating economic rivalry where the future of finance is being written not in Silicon Valley, but in Lagos, Johannesburg, and Nairobi. While Wall Street debates whether crypto is the future or a fad, three African nations have already moved past the conversation. They're not asking IF cryptocurrency matters, they're fighting over WHO will dominate it. South Africa, the sophisticated first mover with institutional muscle and regulatory maturity. Nigeria, the scrappy volume king with grassroots adoption that shocks the world. Kenya, the strategic latecomer positioning itself as the "gateway to Africa" with fresh regulation and tech savvy ambition. Between July 2024 and June 2025, Sub Saharan Africa processed over $2…  ( 17 min )

Created and personally awarded by Dr. Werner Vogels, Amazon’s Chief Technology Officer, the Now Go Build Award recognizes exceptional individuals who embody the spirit of invention, community leadership, and hands-on building. These are developers, educators, and technologists who don’t just use AWS—they elevate others, scale communities, and turn real-world problems into real-world solutions. Since its inception, the award has highlighted a select group of AWS Heroes and community leaders whose work reflects long-term, meaningful impact. Below is a consolidated timeline of known recipients, along with their contributions and primary announcement links from Werner Vogels. 2025 — Raphael Francis Quisumbing https://www.linkedin.com/posts/wernervogels_this-years-now-go-build-award-goes-to-raphael-activity-7401870859310747648-3XJn Bio: He represents a generation of developers who blend hands-on building, public learning, and people-centered leadership. 2024 — Rossana “Roxs” Suarez https://www.linkedin.com/posts/wernervogels_i-had-the-honour-of-presenting-this-year-activity-7269714613733134337-JPsx/ Bio: 2023 — Luc van Donkersgoed https://www.linkedin.com/posts/wernervogels_aws-reinvent2023-awscommunity-activity-7135136044202496000-RuC3/ Bio: 2022 — Bhuvaneswari Subramani https://www.linkedin.com/posts/wernervogels_my-favorite-part-of-reinvent-is-meeting-activity-7003240238055636992-ncaF/ Bio: 2021 — Matt Coulter https://dev.to/aws-heroes/aws-reinvent-2021-was-a-delight-58g4#werner Bio: Matt is a Serverless Hero and creator of the CDK Patterns project, which became one of the most widely used learning and reference tools for AWS CDK developers. His work has accelerated global adoption of infrastructure-as-code through well-documented, production-ready patterns. Featured prominently by Werner Vogels in the 2021 keynote, Matt exemplifies builders who improve the world by making complex systems more approachable.  ( 7 min )

Hey there, Dev.to Community! 👋 Are you looking to boost the performance of your 3D scenes with a large number of MeshInstance3D or procedural geometry? Look no further than the Merging Meshes add-on for Godot 4! Merging Meshes is a simple but powerful add-on designed to optimize your scenes by combining multiple MeshInstance3D nodes into a single mesh. This reduces the number of drawing calls, resulting in a significant performance boost. Merging Meshes uses the SurfaceTool class to append meshes from MeshInstance3D nodes. This allows you to combine an unlimited number of meshes into one, drastically improving performance. Download and enable the addon: Make sure the folder is located in the addons directory. Add a MergingMeshes node: Add the MergingMeshes node into your scene. Configure the node: In the Inspector panel, add your MeshInstance3D nodes to the meshes parameter. Optional: Assign a Material3D to the GeneralMaterial parameter to set the material for the merged mesh. Recommended: Keep the HideSource parameter enabled to automatically hide the original MeshInstance3D nodes. Download on Github. This mini-add-on is part of a larger project I'm working on for Godot 4. Stay tuned for more updates and features! If you found Merging Meshes helpful, consider starring the repository to make it easier for others to find it. Happy coding! 🚀  ( 6 min )

Today, whatever is new quickly becomes old. We started with AI, then moved to Generative AI, and now it's Agentic AI. Honestly, the lines blur because everything overlaps and shines depending on our use cases and requirements. Before diving deeper, it's also key to clarify the difference between Generative AI and Agentic AI. Generative AI is reactive; it creates content, text, images, and code based on user prompts. It focuses on what to create when asked. In contrast, Agentic AI is proactive and autonomous. It takes initiative, sets goals, plans multi-step workflows, makes decisions, adapts dynamically, and executes tasks with minimum supervision. Generative AI powers content within these systems, but Agentic AI orchestrates entire processes to achieve goals efficiently, turning AI from a…  ( 8 min )

ArcMind AI — Generate Complete System Designs Using AI System design is hard. You sit down to design a scalable architecture, and suddenly you’re drowning in: choosing the right components planning microservices deciding databases drawing architecture diagrams explaining everything clearly I’ve gone through this pain myself while building products and preparing for system design interviews. So I created ArcMind AI — an AI-powered system design generator that converts plain English descriptions into fully structured architectures. Just describe what you want to build, and it generates: ✔ Full System Architecture Clear explanations of: API gateway backend services databases caching load balancers queues messaging systems CDN authentication deployment strategy …  ( 7 min )

Derek Mobley thought he was losing his mind. A 40-something African American IT professional with anxiety and depression, he'd applied to over 100 jobs in 2023, each time watching his carefully crafted applications disappear into digital black holes. No interviews. No callbacks. Just algorithmic silence. What Mobley didn't know was that he wasn't being rejected by human hiring managers—he was being systematically filtered out by Workday's AI screening tools, invisible gatekeepers that had learned to perpetuate the very biases they were supposedly designed to eliminate. Mobley's story became a landmark case when he filed suit in February 2023 (later amended in 2024), taking the unprecedented step of suing Workday directly—not the companies using their software—arguing that the HR giant's al…  ( 18 min )

I built an Open Source Instagram Unfollowers tool (No Login required) 🛡️ Hi everyone! 👋 I was tired of "Unfollowers" apps that require a monthly subscription, show tons of ads, or worse—ask for my Instagram password (which is a huge security risk). So, being a developer, I decided to build a safe, open-source alternative. I took inspiration from existing community scripts and wrapped them into a modern, user-friendly tool with a brand new Glassmorphism UI and Mobile support. It's a script that runs locally in your browser console. It scans your followers/following lists using your active session and shows you exactly who isn't following you back. 🛡️ 100% Safe: It runs on your side (client-side). No password required. ⚡ No Login: It uses your active browser session cookies securely. 📱…  ( 7 min )

In the previous blog post, we highlighted some of the new features in SeaORM 2.0. In this post, we're going to take a closer look to some of the changes under the hood. Entity::insert_many #2628 We've received many issue reports around the insert_many API. Previously, insert_many shares the same helper struct with insert_one, which led to an awkard API: let res = Bakery::insert_many(std::iter::empty()) .on_empty_do_nothing() // …  ( 12 min )

A technical perspective on browser automation internals, protocol architectures, and when to use what. The Two Protocols Architecture Comparison WebDriver Protocol (W3C) Chrome DevTools Protocol (CDP) Head-to-Head Comparison When to Use What Our CDP Implementation Production Examples Final Thoughts Browser automation comes down to two fundamental approaches: WebDriver - W3C standardized, cross-browser, high-level abstraction over HTTP REST. CDP - Chrome's native debugging protocol, WebSocket-based, low-level access to browser internals. Both solve browser automation. Neither is universally "better." Your use case dictates the choice. ┌──────────────┐ HTTP/REST ┌──────────────┐ Native ┌─────────────┐ │ Client │ ◄────────────► │ Driver │ ◄──────────► │ Browser │ │…  ( 14 min )

Python is currently the best tool for training machine learning models (AI), with many tools available in the Python ecosystem - like PyTorch and Hugging Face Transformers - it has never been easier to create a proof of concept for an AI model. We are big fans of Python because of how easy and flexible it is. However, let's take a look at the deployment aspect of using the model. When it comes to inference (running a trained model) on platforms where you need to run a model in a production environment or on a device that is not a computer, Python starts to show its disadvantages. If you've tried deploying a PyTorch application before, then you already know the pain points involved in the process. You have to create a multi-gigabyte Docker container image just to run a simple Python script.…  ( 9 min )

WebAssembly (WASM) is rapidly evolving into the “universal virtual machine”. Originally designed to let browsers run non‑JavaScript code, WASM has grown beyond its initial scope. Today, major toolchains such as C/C++, Rust, Go, Zig, and even higher‑level languages like Python and C# can compile to WASM, making it a powerful cross‑platform runtime. Both the WASM Virtual Machine and the Java Virtual Machine (JVM) are stack‑based machines. This architectural similarity means that compiling from WASM bytecode to JVM bytecode is not only possible but practical. Projects like Chicory demonstrate this by translating WASM modules into native JVM classes. This approach solves a long‑standing problem: How do we reuse existing C/C++ libraries in modern toolchains without rewriting everything? Tradi…  ( 7 min )

Hello there!👋🧔‍♂️ Today, we're exploring the three main service lifetimes: singleton, scoped, and transient. Understanding dependency injection (DI) lifecycle management is crucial for building reliable applications. Get it wrong, and you might end up with memory leaks or shared state bugs. Get it right, and your code will be cleaner and easier to maintain! When you register a service in a dependency injection container, you need to specify its *lifetime, how long the container should keep an instance alive. The three main lifetimes are: Singleton - One instance for the entire application lifetime Scoped - One instance per scope (typically per HTTP request in web apps) Transient - A new instance every time it's requested Singleton is like having one shared tool that everyone uses. There'…  ( 10 min )

CSS: if you’re afraid of deleting CSS, your code is legacy. The standard is deletability (Tailwind / zero-runtime CSS-in-JS). JavaScript: mutating objects causes most “weird” bugs. Use immutability by default. React: stop using useEffect to calculate totals. Use derived state during render. Career: companies don’t pay for “beautiful code”. They pay for performance and profit. Let’s be brutally honest: your job title on LinkedIn won't protect you from the next round of layoffs. This is not just another rant; this is a 2025 Frontend Career Guide for those who want to survive. If your routine is still waiting for a Figma file to "translate" pixels into React and installing five libraries just to build a form, you have a target on your back. The bubble has burst. The easy money has dried up…  ( 9 min )

The UK government’s highly anticipated Circular Economy Growth Plan, previously known as the Circular Economy Strategy for England, is now set to be unveiled in the new year, with public consultation expected to follow. This update, confirmed by Defra Secretary of State Emma Reynolds, signals a slight delay from original timelines but reconfirms the government's commitment to addressing the nation's ‘throwaway culture’. For commercial real estate (CRE) and property owners, this renewed focus on circular principles is not just about environmental compliance; it represents a significant shift in operational strategy, asset management, and long-term value creation. Understanding its implications now is crucial for future-proofing portfolios. The forthcoming plan builds on the extensive work o…  ( 8 min )

The "AI revolution" in e-commerce isn't just about futuristic robots; it's about practical efficiency. For a WooCommerce store owner, AI tools are essentially employees that never sleep, analyzing data, answering questions, and optimizing sales 24/7. With the right WooCommerce development services, these AI-driven solutions can be seamlessly integrated into your store, enhancing customer experience and boosting your business's growth. Below are 5 distinct tools that integrate seamlessly with WooCommerce to modernize your store’s operations. Category: Customer Support & Sales Chatbot Customer support is often the biggest bottleneck for growing stores. Tidio is a popular live chat and chatbot platform, but its standout feature for 2024/2025 is Lyro AI. Lyro is a conversational AI (similar to…  ( 9 min )

When using Scrapy for large-scale, high-frequency data scraping, simple proxy settings are no longer sufficient. Random IP rotation and fixed delays can lead to inefficiency, IP waste, and even trigger more sophisticated anti-bot mechanisms. Deeply integrating residential proxies with Scrapy and performing performance tuning is an essential skill for building industrial-grade, robust, and efficient data pipelines. This article goes beyond basic proxy middleware configuration, delving into how to implement intelligent IP management, dynamic performance optimization, and cost control within the Scrapy framework to unlock the full potential of residential proxies. The traditional proxy integration method (setting a single proxy in settings.py) is fragile. We need a more robust architecture. R…  ( 10 min )

This article is for anyone writing Playwright tests with AI assistance TL;DR: AI agents using Playwright MCP often write positional selectors like getByRole('button', { name: 'Add to Cart' }).nth(8) or chain parent traversals like locator('..').locator('..') because accessibility snapshots omit non-semantic containers. Verdex is an experimental MCP Server that solves this through progressive disclosure at two layers: Layer 1 - Three DOM exploration primitives (resolve_container, inspect_pattern, extract_anchors) reveal structural information incrementally, using ~3k tokens per exploration instead of 50k+ token DOM dumps. Layer 2 - AI assistant configuration (cursor rules, Claude skills, or similar) teaches LLMs how to compose these tools correctly, loading instructions progressively. Toget…  ( 33 min )

Hello everyone, I'm excited to share two Python libraries I've been working on recently: llmlog_engine and mini_faiss. Both tackle performance-critical problems in production AI systems with C++ implementations under the hood while providing clean, Pythonic APIs. For context, I've been building LLM-powered applications in production, and two recurring bottlenecks kept appearing. First, analyzing application logs to understand model behavior, error rates, and latency patterns was painfully slow with pandas alone. Second, running similarity searches on embeddings for retrieval systems felt like overkill with full FAISS for smaller datasets, yet pure NumPy was too slow. I explored existing solutions but found a gap: llmlog_engine addresses the need for a lightweight, embedded analytics engine…  ( 10 min )

Let’s be real for a second. Insurance apps are full of repetitive, predictable flows: Do we really want to rebuild the same steps every single time? Guidewire took one look at that chaos and said: “Developers deserve better. And faster. And less repetitive stress.” That’s why Patterns exist in JDP (Jutro Digital Platform). If Jutro Components are the LEGO bricks, Patterns are the pre-built LEGO sets that already look like a car, a house, or a spaceship, you just customize the colors and stickers. In simple words: Patterns are reusable, ready-to-go UI flows built from multiple Jutro components, designed specifically for insurance journeys. You don’t have to reinvent multi-step forms, document upload flows, payment steps, quote summaries, or review pages. Patterns say: It’s like having a fri…  ( 7 min )

I spent two months building a feature that I deleted in a single afternoon. The code was clean. The tests passed. The architecture was solid. But the fundamental approach was wrong, and no amount of refactoring could save it. I had optimized for the wrong metric, built for the wrong use case, and designed around assumptions that reality brutally disproved. Two months of work. Gone. My first instinct was to bury it. Pretend it never happened. Move on to the next thing and hope nobody asked too many questions about that mysterious gap in my commit history. After all, why would I want to document my failure publicly? Then I wrote a post-mortem. Not for my team—for the internet. I published everything: what I built, why it failed, what I should have done differently, and the specific warning s…  ( 13 min )

Let’s be honest: we all care about bundle size. Or at least, we should. For years, bundlesize was the go-to tool for this. It was the venerated guardian of our build pipelines, ensuring we didn't accidentally ship a 5MB lodash import to production. Sadly, it has become outdated and unmaintained. I'd hoped for it to be updated, but as security checks began to scream at me for its transitive dependencies exposing all manner of issues, a replacement had to be found. As one didn't simply materialize in the ecosystem, I decided I had to build one myself. Hence, Overweight 🧳⚖️. It’s a lightweight, modern replacement for bundlesize that helps you keep your file sizes in check. It supports Gzip and Brotli compression out of the box and integrates seamlessly with your CI. The concept is simple: y…  ( 7 min )

Remote software teams are now the norm, offering global talent but also plenty of challenges such as scattered time zones, miscommunication, missed dependencies, and delayed handoffs. Without a clear plan, even strong teams can feel like they are running in circles. This article will show how a well-defined task sequence brings structure, clarity, and smoother collaboration to remote development teams. You will discover the importance of task sequences, common patterns, and practical steps to implement them, along with tips and tools to keep your team aligned and working in sync. A task sequence is more than a list of things to do. It is an ordered set of development tasks showing dependencies, triggers, and outcomes. In software projects, tasks can include coding, code reviews, testing, d…  ( 12 min )

Everyday I see a shiny new AI tool for coding: AI that writes code AI that explains code AI that reviews code AI that documents code AI that fixes bugs you didn’t even know you had Amazing. Useful. Love that for everyone. But being around developers all the time, I’ve realized something: The most exhausting parts of a developer’s job have nothing to do with writing code. We’re drowning in tools that help you code… Here are the AI tools devs actually need: 🔥 1. AI that explains a PR like a normal human Not “diff stats.” But: What changed Why it changed What broke What’s risky Who touched this last Why the code looks haunted Basically a PR therapist. 🔥 2. AI that reads Slack and gives you the real summary Because let’s be honest: 70% of Slack is noise 20% is memes 9% is confusion 1% is the thing you actually needed to know Where is the AI that says: “Here’s the ONLY thing that mattered from yesterday. You’re welcome.” 🔥 3. AI that remembers WHY someone wrote cursed code Dev: “Who wrote this?” We need an AI that reconstructs the crime scene: the context the deadline panic the hacky patch the temporary solution that became permanent the Jira ticket titled “quick fix don’t judge” This would save lives. 🔥 4. AI that tells you which meetings are safe to ignore Let’s be real: Some meetings matter. Some meetings shouldn’t exist. Some meetings actively reduce lifespan. I want AI that whispers: “Skip this one. It’s just three people arguing about naming conventions.” 🔥 5. AI for the glue work devs secretly hate The real energy traps: clarifying requirements translating vague messages remembering decisions tracking discussions chasing answers updating docs keeping everyone aligned context-switching 47 times a day This is the work no AI tool touches… AI for glue work will be bigger than AI for code. 💬 Your turn I want to know from actual devs: What’s ONE AI tool you wish existed — not for coding, but for your sanity? The funnier and more petty your answer, the better. I’m ready 😂👇  ( 7 min )

Optimization is at the heart of every decision-making process. Whether it is a business allocating limited resources, a logistics company optimizing route planning, or a financial institution balancing risk and return, optimization helps identify the most efficient solution among several alternatives. In R, optimization techniques are widely used due to the language’s rich mathematical and statistical capabilities, as well as its extensive package ecosystem. This article explores the origins of optimization, its real-world applications, and detailed case studies, followed by step-by-step demonstrations of how to execute optimization tasks in R. Origins of Optimization By the early 20th century, optimization gained prominence through operations research, especially during World War II when …  ( 9 min )

What do you do as a product manager when your design team push for a clean, modern interface, while developers argue for the old, familiar UI? tldr; You should always go with the solution of the designers because they are designing for users not programmers. Programmers are not the audience. Developers spend their life inside complex tools, terminals, logs, IDEs — clutter doesn’t bother them because they’re trained to survive it. But users are not developers. Normal people don’t want interfaces that look like a cockpit from the 1990s. Designers are literally trained to solve this problem. A designer’s whole job is: visual hierarchy readability spacing usability clarity human factors A programmer’s job is not design. Their taste is shaped by tools built for power-users. Old, cluttered i…  ( 7 min )

You know the feeling. You spend three hours on a Saturday night with Claude or Cursor. You’re in the flow. You prompt, it generates, you paste. The app works. You show your non-technical friends who think you’re a genius, and you feel like you’ve unlocked a superpower. Life is good. Then, the hangover hits. You notice a bug, or you want to add a "quick" feature. Or worse, you pushed to production, and now users are starting to notice issues. Suddenly, you’re staring at thousands of lines of code you didn’t really write and, let’s be honest, don’t really understand. You beg the AI to "fix it," but since it has no memory of why it made those decisions three days ago, it just adds more spaghetti on top of the sauce. You go around in circles, stuck in an endless AI loop. This is the uncomforta…  ( 9 min )

Modern applications ship fast. But fast releases come with risk. This is where ArgoCD Rollbacks become a true lifesaver — giving you a one-click, zero-downtime, Git-driven rollback mechanism that restores your Kubernetes cluster to a stable version in seconds, NOT hours. In this article, you’ll learn: What ArgoCD Rollback is Why it is essential for DevOps teams Real-world scenarios where it’s used How to implement rollback in a complete project Tools involved Best practices for production The importance of rollback in a GitOps workflow Let’s dive deep. ⭐ 1.What Is ArgoCD Rollback? ArgoCD rollback means restoring Kubernetes resources to a previously working Git commit that was successfully applied earlier. ArgoCD maintains: A full deployment history A visual timeline of all sync events The …  ( 8 min )

Intro Anaconda Code is an Excel add-in that enables users to execute Python or R code directly within Excel. It allows you to create custom Python functions for use in Excel workbooks. In addition, its package management support makes it easy to add or remove packages, significantly extending Excel’s capabilities. With these features, tasks such as querying external APIs for data become possible right inside Excel. In this tutorial, we will guide you through using Anaconda Code to query the IP2Location.io API and display the results in your workbook. The IP2Location.io service provides a fast and accurate IP geolocation API that allows users to determine a visitor’s geographical location and apply geolocation data in various use cases. Before we begin, please ensure that Anaconda Code is…  ( 8 min )

Events are often used to decouple logic and keep a system modular. Events allow for a very modular architecture. Your system emits events at different points in time and this allows you to create a completely independent and pluggable module which hooks into these events without needing to make any changes to the core part of your system. For example, you might create a Notification module which listens to various events in your system and sends e-mail, text messages, push notifications and performs other actions related to notifying your users. All of this without ever needing to change any part of your existing codebase. Your module can have a single responsibility, be completely self-contained and independent. For example, POS systems often have a local law requiring them to implement the payment system as a completely separate module. Without events and hooks this becomes impossible. You look at the code and see that everything depends on everything, the payment system is intermingled with every other part of the system. You throw your arms up in the air and say, no way, this can't be done. Payments are the very core of a POS system. It runs through everything. But that is just a sign of a badly architected system. It doesn't need to be this way. Everything should not depend on everything. That's a brittle system. With an event-driven, modular architecture you simply emit events and let the payment module hook into these events and handle the logic. Think of a radio broadcast (emitting events). The broadcaster simply broadcasts into the air. Anyone who wants to and has a radio (listener) tuned to the frequency hears the message. The broadcaster doesn’t know or care who’s listening.  ( 6 min )

Have you noticed how our world is built on abstractions? Abstractions are everywhere. We have abstractions in code - one library depends on another library which depends on another and so on. But it's not just code. We use abstractions every day. Every time you plug something into a wall outlet - you are using an abstraction, a huge electrical infrastructure with its own abstractions, completely invisible and hidden from you. When you drive your car, you don't operate with gears and wires, instead you turn a key, push a button, turn the steering wheel. You don't care how it works - you don't even want to know how it works. You're using abstractions to get where you need to go. Imagine a world without abstractions. Let's say you wanted to build a house. You'd need tools and materials but if…  ( 7 min )

Debugging a Django application running inside a Docker container can feel like trying to fix a car engine while it's still running—challenging, but definitely not impossible. If you've ever found yourself staring at cryptic error messages with no stack trace, or wondering why your breakpoints never trigger, you're not alone. This guide will equip you with the tools and techniques to effectively debug Dockerized Django applications. Docker containers are designed to be isolated, lightweight, and production-like. While this is great for deployment, it creates some unique challenges for debugging: Limited direct access to the running process Logs can be scattered or hard to follow Interactive debuggers require special configuration File system isolation makes it harder to inspect state Networ…  ( 15 min )

A lot of junior developers misunderstand DRY (Don't Repeat Yourself) as a strict rule against any code duplication. To them DRY means: never repeat a line of code never have two components share similar structure never write anything twice If something looks similar, they feel obligated to merge it, abstract it, or build a “super component” with flags and conditions. Of course, the result is always the same: Overcomplicated, brittle, unreadable code that was technically DRY — and practically unusable.. Imagine if a cookbook tried to follow the the DRY principle to the extreme. Instead of having separate recipes for different types of pizza, it would try to create one giant single pizza recipe that covers every possible variation - one "single universal pizza recipe". “Use tomato sauce unle…  ( 7 min )

When working on a shared GitHub repository, your workflow can either make collaboration smoothor create endless conflicts, broken code, and frustration. Many developers struggle with one common question: “Should I pull changes before starting new work, or should I code first and pull later?” The truth is: The most efficient and professional workflow always begins with pulling the latest changes before you start. This article breaks down the ideal Git workflow used by teams in top engineering organizations. 1. Always Start by Pulling the Latest Changes Before you write a single line of code, ensure your local environment is up to date. Pulling first guarantees: You’re working with the latest version of the project You avoid rewriting features that someone already updated You minimize merg…  ( 8 min )

Most MCP (Model Context Protocol) tutorials show you how to build local servers that connect to Claude Desktop via stdio. That's great for development, but what if you want your MCP server accessible from anywhere? What if you want it running on the edge with sub-50ms latency globally? I built an MCP server on Cloudflare Workers that provides semantic search using Vectorize and Workers AI. Along the way, I discovered the MCP SDK wasn't designed for serverless environments - so I had to adapt it. In this article, I'll show you: Why MCP on Workers is powerful (and tricky) Three different MCP architectures I built How to adapt the stdio-based SDK for HTTP A working semantic search implementation with Vectorize When to use each architecture By the end, you'll have the knowledge to deploy produ…  ( 13 min )

Sega’s Dreamcast was known for pushing boundaries and innovation. Among its most ambitious experiments was Seaman, a virtual pet / life-simulation that combined evolution, real-time care, and voice interaction. Long before ChatGPT and LLM-powered agents existed, Seaman gave us something similar in spirit: a creature that listened, remembered, responded, and evolved based on your interaction. The game used a microphone accessory plugged into the Dreamcast controller to let players speak to Seaman. The underlying voice-recognition engine was limited and supported only a vocabulary of around 100 words or short phrases. Rather than full natural-language parsing, Seaman used a navigation-style conversation model: the game anticipated likely user inputs from a predefined set of options, and ma…  ( 8 min )

Localization in Flutter sounds simple on paper: “Just use ARB files, run the generator, and you’re done.” Right? Right… until your app grows to hundreds of keys, multiple languages, different plural forms, nested folders, and a team of devs all touching the same translations. I’ve been there. Localization is one of the most annoying parts of Flutter development. Even with tools like easy_localization helping us generate code and structure files, there are still several pain points that never went away for me. So I built a tool to fix them — but let me start with the problems first. JSON files are fine when you have: title: “Hello” button_ok: “OK” button_cancel: “Cancel” But with real apps, things turn into this: settings.notifications.push_title settings.notifications.push_body profile.fo…  ( 12 min )

Sometimes, fixing a GPU on Linux feels less like tech work and more like a mystical quest. That was exactly my journey with an NVIDIA GTX 1050 on Ubuntu 24.04 LTS. Xorg kept crashing. Logs screamed about missing modules. The system would randomly freeze, then reboot. Despite having NVIDIA 535 installed earlier, only one monitor worked under the fallback modesetting driver. Nouveau was blacklisted, yet the GPU refused to fully awaken. Purged all nvidia-* drivers, blacklists removed. Verified that nouveau was not loaded. Kernel headers were up to date. Success? ✅ Partial. The system booted with modesetting, but Xorg was still using VESA, single monitor only, GPU idle. Installed NVIDIA 535 via apt, purged, reinstalled, repeat. Every time, nvidia-smi reported the driver version, kernel modules…  ( 7 min )

As developers, we all want clean, consistent code. Tools like pre-commit make this possible by automatically running linters, formatters, and other checks before a commit. However, if you’ve used them in a real project, you’ve probably encountered the dreaded commit-hook loop. I recently faced this issue while working on a Django project. Let me walk you through the problem and how I fixed it. I’m building a Django project with a typical Python stack: Django 5.x Python 3.12 Black for formatting Flake8 for linting isort for import sorting pre-commit for managing all hooks The goal is simple: enforce code quality automatically on every commit. Here’s the workflow I was using: git add . git commit -m "Some message" At this point, pre-commit hooks run automatically. If a hook fails (say Black …  ( 7 min )

Have you ever wondered what the little padlock 🔒 next to a website’s address actually means? Or why some URLs start with https:// instead of http://? Let’s break it down—no jargon, just clarity. The Problem with Plain HTTP HTTP (Hypertext Transfer Protocol) is the original way browsers talk to websites. But here’s the catch: it’s like sending a postcard through the mail. Anyone handling that postcard—your internet provider, a hacker on the same Wi-Fi, or even someone snooping on network traffic—can read everything on it. If you log in or enter your credit card on an http:// site? That data travels as plain text. Yikes. 💡 Think: Would you write your password on a postcard and drop it in a public mailbox? Probably not. Enter HTTPS: Your Digital Envelope HTTPS (HTTP Secure) fixes this by ad…  ( 7 min )

Look, we need to talk about async testing in Python. If you've ever stared at a ModuleNotFoundError: No module named 'trio' when you're just trying to test your FastAPI endpoints, you know the pain. You didn't ask for trio. You don't even know what trio is. You just want your tests to pass. Let's fix this properly. Here's the thing about async Python: your async/await code needs an event loop to run. That's not optional. And there are multiple event loop implementations out there: asyncio - Python's built-in standard library solution trio - Third-party library with structured concurrency curio - Another third-party option (less common these days) When you're testing async code with pytest, you need something to manage these event loops. Enter pytest-anyio - a plugin that's supposed to make…  ( 10 min )

Angular has taken a big leap forward with the introduction of Signals, a simpler and more intuitive reactivity model designed to solve long-standing challenges with change detection, manual subscriptions, and complex RxJS patterns. If you’re looking to write cleaner and more predictable Angular code, Signals are the game-changer you’ve been waiting for. What Are Signals? A signal is a special reactive variable. When its value changes, Angular automatically updates the UI — no subscriptions, no async pipes, no boilerplate. `import { signal } from '@angular/core'; const counter = signal(0); counter(); // returns 0 Think of a signal as a state container that “reacts” when changed. Why Should You Use Signals? No more manual subscriptions No subscribe() or unsubscribe() headaches. Predictable UI updates Only affected parts re-render. Cleaner component logic You read a signal like a function: mySignal(). Perfect for local and shared state Simplifies component state management dramatically. How to Use Signals in Angular Create a Signal count = signal(0); Read It in the Template Count: {{ count() }} ${this.firstName()} ${this.lastName()}); Whenever firstName or lastName changes, fullName updates instantly. Effects — Run Logic When Signals Change effect(() => { Perfect for API calls, logging, or reacting to state changes. Scenario Signals RxJS Signals are not replacing RxJS — they are simplifying many common cases where RxJS felt too complex. Angular Signals bring a modern, lightweight, and highly predictable reactivity model to Angular. Whether you're building small features or large applications, Signals help you write cleaner code with less mental overhead. If you haven’t tried Signals yet, now is the perfect time — your Angular workflow will feel faster, simpler, and more enjoyable.  ( 7 min )

A Deep, Extended, Example-Packed Article Managing memory properly in JavaScript is one of the most critical skills for building fast, stable, and scalable applications. Whether you're developing a complex frontend interface, a long-running SPA, a Node.js backend, or a real-time system, poor memory handling can cause slowdowns, UI freezes, increased RAM usage, or even total crashes. JavaScript has automatic memory management through its garbage collector, but automatic does NOT mean perfect. Incorrect coding patterns will easily prevent the garbage collector from doing its job — resulting in memory leaks and wasted resources. This article is a full deep dive, expanded far beyond the standard explanations, with plenty of examples, patterns, anti-patterns, best practices, and developer tests …  ( 10 min )

Here’s a concrete, simple example of what a Fiber node “looks like” and how it links to others, using a tiny DOM tree. Example JSX function App() { return ( Hello Click ); } Conceptual Fiber nodes React creates one Fiber per element/component. Each Fiber points to: return: parent Fiber child: first child Fiber sibling: next child at the same level stateNode: the real DOM node (for host elements like div/span/button) or instance (for class components) alternate: the other version of this fiber (current vs work-in-progress) for double buffering A rough, simplified shape (not exact internal names), for the initial mount: Root fiber (HostRoot) HostRootFiber = { tag: 'HostRoot', type: null, …  ( 8 min )

The modern platform for booking football pitches. Manage venues, track revenue, and book matches seamlessly. Live Demo: https://footbookr.vercel.app/ https://github.com/saidMounaim/footbookr Real-time Availability: Browse pitches and see live slot availability. Smart Booking: Filter by 5-a-side vs 7-a-side, date, and time. Digital Tickets: QR Code generation for seamless check-in at the venue. User Dashboard: Manage upcoming matches and view booking history. Social Login: One-click sign-in with Google or Email. Analytics Dashboard: Visual revenue charts, occupancy heatmaps, and KPI cards. Venue Management: Add or delete pitches with image uploads. Booking Control: View all reservations, cancel bookings, and manage schedules. User Management: View user stats and manage permissions. Framework: Next.js 16 (App Router, Server Components, Server Actions, Data Access Layer) Language: TypeScript Styling: Tailwind CSS Components: Shadcn UI (Radix UI) Database: PostgreSQL (via Prisma ORM) Authentication: BetterAuth Charts: Recharts / Shadcn Charts Icons: Lucide React Utilities: date-fns (Time), zod (Validation), react-hook-form (Forms)  ( 6 min )

Mujhe apni TCS CodeVita Contest ki performance ko dekhkar bahut khushi ho rahi hai aur haan abhi bhi improvements kiye hi ja sakte hain aur in fact har baar kiye ja sakte hain shayad yahi Science Community ko hamesha evolve karne ki prerna deti hai ki abhi jo paa liya bahut sahi ab aage aur achcha kya kar sakte hain aur phir usse bhi achcha aur is sab ko measure karna apni aur world ki past performance se yaani ki right progress with rights tools and right kind of tracking. To start karte hain is achievement tak aa pane ki kahani se. Pahle main bahut pareshan tha jabse ye taabeez maine pahni hai meri zindagi badal gayi Sorry Sorry Sorry main majaak kar raha tha ye kahani vaisi kahaniyon ki tarah nahin hai bas thoda mahaul ko light karne ke liye anyways pahle main apna motive clear kar doo…  ( 9 min )

Go to Azure Portal - App Registrations https://portal.azure.com/#view/Microsoft_AAD_RegisteredApps/ApplicationsListBlade Click - New registration Fill - Name Choose = Accounts in any organizational directory (Any Microsoft Entra ID tenant - Multitenant) Choose - Web Redirect URI: https://[host]/rest/oauth2-credential/callback Copy – Application (client) ID Click - Add a certificate or secret Click - New client secret Fill - Description Choose - Expires Click - Add Copy Value (Client Secret)  ( 6 min )

GlassiFy: a JavaScript library that creates liquid glass effects using dynamic SVG displacement. Key features: • Dual rendering modes – static frosted glass or animated turbulent surfaces Works natively with React, Vue, Angular, or vanilla JavaScript. The library applies sophisticated glass morphism without WebGL or heavy animation frameworks. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

Last week, I asked Claude to create a memory leak in Swift's Task API, for an amusement purposes. It gave me code and claimed the Task captures self strongly, creating a retain cycle. It suggested using [weak self]. I knew something was off. Tasks don't create retain cycles by default, that's literally their design advantage. I diasgreed with him and he started to explain why I am right. The problem is that other than trusting his words I did not have any other way to prove I am right. It turns out the Swift compiler creates something called SIL (Swift Intermediate Language) - an intermediate representation that shows exactly what the compiler does with your code before turning it into machine code. It's like looking at the compiler's notes. bash %14 = function_ref @(extension in Swi…  ( 7 min )

Pixelize Portfolio Nextjs Template is a modern one-pager template designed for creative professionals, developers, and designers who want to showcase their work online. Built using Nextjs and Tailwind CSS, it offers a fast, SEO-friendly, and fully responsive experience. Whether you’re launching your personal portfolio or promoting your freelance services, this Free Landingpage Template delivers smooth scrolling, clean design, and effortless customization to help you stand out from the crowd. Key Features ⚡ Built with Next.js & Tailwind CSS – Ensures blazing-fast performance and easy customization. 🎨 Clean & Minimal Design – Highlights your content beautifully without distractions. 📱 Fully Responsive Layout – Looks perfect on desktops, tablets, and smartphones. 🧩 One Pager Structure – Ideal for personal portfolios, agencies, or resumes. 🔍 SEO Optimized – Helps your portfolio get discovered easily on search engines. 🌈 Modern Animations – Adds a touch of interactivity and visual appeal. Why Choose Pixelize Portfolio Nextjs Template? 💡 Creative Presentation Perfect for showcasing design projects, case studies, or personal achievements in a visually stunning layout. 🚀 High Performance Powered by Next.js for lightning-fast load times and optimized code delivery. 🧠 Easy Customization Tailwind CSS utility classes make it simple to change colors, fonts, and layout within minutes. 🌐 Free & Developer Friendly As a Free Landingpage Template, it’s ideal for developers who want a ready-to-use, scalable portfolio base. 📄 SEO Ready Structure Built with semantic HTML and optimized metadata for better Google ranking and visibility. Conclusion The Pixelize Portfolio Nextjs Template is the perfect choice for anyone looking to build a professional one-pager website without starting from scratch. Combining performance, simplicity, and a modern interface, this Nextjs Template helps you create a strong online presence with minimal effort. 👉 Live Preview | Download now  ( 7 min )

Watch this on YouTube: DevFest Vienna 2025 Online Navigation Online navigation works quite similarly to offline navigation, only the tools differ greatly. For online navigation, we mainly have zoom, screen magnifiers, and screen readers (or SR for short). Zoom and screen magnifiers are pretty easy to wrap your head around, either because you tested it on purpose or accidentally hit Ctrl while trying to scroll and got a jump scare by gigantic UI elements: They make things big. Checks out. But screen readers are more intimidating at first. You boot them up and suddenly everything starts talking! Most of us are not particularly fond of their device issuing unexpected noises because it’s usually a bad thing. While text-to-speech (or TTS for short) is the intended functionality o…  ( 16 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. The core functionality relies on a single multimodal API call. The key prompt I crafted was designed to leverage both image and text inputs: "Analyze the image’s aesthetic and colors, then generate a detailed 3D doodle-style creature sticker that reflects '[User’s Personality Notes]' and matches the image’s style." I utilized the Studio's multimodal capabilities and the Prompt Engineering interface to rapidly iterate on the visual style and consistency. Here is a quick look at the user experience, from input to output: Input: The user shares a photo and simple text notes. Output: The generated, custom DoodleMate. Working through the Google AI Studio track offered several key takeaways and surprises: 💡 What I Learned Prompt as Code: The process truly felt like "prompt engineering." Tweaking words like "3D sticker," "whimsical," or "charming" acted like visual parameters, allowing me to refine the product's aesthetic without touching any traditional code. 🤯 What Was Surprising If you're looking for a quick, creative project, using Google AI Studio for multimodal tasks is the perfect way to turn pixels into personality!  ( 7 min )

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This post is my submission for DEV Education Track: Build Apps with Google AI Studio. The core functionality relies on a single multimodal API call. The key prompt I crafted was designed to leverage both image and text inputs: "Analyze the image’s aesthetic and colors, then generate a detailed 3D doodle-style creature sticker that reflects '[User’s Personality Notes]' and matches the image’s style." I utilized the Studio's multimodal capabilities and the Prompt Engineering interface to rapidly iterate on the visual style and consistency. Here is a quick look at the user experience, from input to output: Input: The user shares a photo and simple text notes. Output: The generated, custom DoodleMate. Working through the Google AI Studio track offered several key takeaways and surprises: 💡 What I Learned Prompt as Code: The process truly felt like "prompt engineering." Tweaking words like "3D sticker," "whimsical," or "charming" acted like visual parameters, allowing me to refine the product's aesthetic without touching any traditional code. 🤯 What Was Surprising If you're looking for a quick, creative project, using Google AI Studio for multimodal tasks is the perfect way to turn pixels into personality!  ( 7 min )

✅ Prerequisites Before we begin, make sure you have: 🐍 Python 3.10+ installed 💻 A code editor (VS Code, Cursor, etc.) 🖥️ Basic command line knowledge First, let's create a directory for our project and set up a clean Python environment. Open your terminal and run: # 1. Create the project folder mkdir mcp-unit-converter cd mcp-unit-converter # 2. Create a virtual environment python -m venv venv 3. Activate the environment: On Windows: venv\Scripts\activate On Mac/Linux: source venv/bin/activate 4. Install the MCP SDK: pip install mcp[cli] We will use the FastMCP class to build our server quickly. Create a file named converter.py. This code defines tools for converting: 🌡️ Temperature (Celsius/Fahrenheit) 📏 Length (Meters/Feet) ⚖️ Weight (Kg/Pounds) from mcp.server.fastmcp im…  ( 8 min )

File Upload Security Issues: A Comprehensive Guide Introduction: File upload functionality is a ubiquitous feature in modern web applications. From profile pictures and documents to media files and configuration data, users frequently need to upload files to servers. While providing convenience and expanding functionality, this feature also introduces a significant attack surface. Poorly implemented file upload processes can open the door to various security vulnerabilities, ranging from denial-of-service attacks to remote code execution, compromising the integrity, confidentiality, and availability of web applications and their underlying infrastructure. This article delves into the critical security issues surrounding file uploads, outlining common threats, mitigation strategies, and b…  ( 10 min )

Introduction When installing Tailwind CSS v4 in a React + Vite environment, Cannot find module 'function qt(e={}){...}' Require stack: - postcss.config.js This article summarizes how to fix this error. The Tailwind v3 configuration is being used for Tailwind v4. Doesn't work with Tailwind v4. export default { plugins: { tailwindcss: {}, autoprefixer: {}, }, }; Create (or modify) src/index.css. @tailwind base; @tailwind components; @tailwind utilities; Change postcss.config.js to the v4-specific syntax: import tailwindcss from "@tailwindcss/postcss"; export default { plugins: [ tailwindcss(), ], }; Tailwind styles are back, and the layout is back to normal.  ( 6 min )

I remember when Blazor was the weird kid at the .NET party. "You want to run C# in the browser? That's adorable." Fast forward to 2025, and Blazor in .NET 10 is no longer the underdog—it's a genuine contender. Blazor has always worked. But some patterns required more ceremony than they should. .NET 10 finally streamlines the rough edges. Here's what many developers experienced. You start a Blazor project. You're excited. You write components. They work. Life is good. Then your boss says: "Why does the page flash white during navigation?" And you discover prerendering. And hydration. And the double-render problem. The framework handled all of this—but you had to write the wiring yourself. Serializing state manually, juggling OnInitializedAsync vs OnAfterRenderAsync, building abstractions th…  ( 14 min )

In today’s digital world, businesses are constantly looking for smarter ways to reach the right audience. For a long time, improving visibility online meant working on SEO (Search Engine Optimization). But now, there’s another approach becoming increasingly relevant — GEO (Geographic Engine Optimisation). If you’ve encountered “GEO” somewhere and wondered what it means — and how it differs from SEO — this guide aims to clarify both concepts simply. What Is GEO? GEO is a marketing approach that optimizes a website’s content for specific geographic locations rather than a broad, global audience. Instead of generic content targeting high-volume global keywords, GEO customizes offerings to people in particular cities, states, or regions. In short: SEO helps your website rank for a keyword, glo…  ( 8 min )

HTML forms have been around forever, but honestly, most developers are still writing the same basic forms they learned years ago. Meanwhile, HTML has been quietly adding powerful attributes that can save you from writing tons of JavaScript. I’m talking about validation, user experience improvements, and accessibility features that are just sitting there, ready to use. Your support matters. You can read and support the original version of this story on Medium. 30 HTML Form Attributes You’re Not Using (But Should) Let me walk you through 30 form attributes that you’re probably not using but absolutely should. These aren’t obscure features. They’re well-supported, practical, and they’ll make your forms better today. Note: Browser support listed shows minimum versions. Most attributes work in …  ( 13 min )

The Problem with Productivity Apps When my semester wrapped up, I knew exactly what came next: a focused stretch of interview prep and personal learning. I wanted to set clear goals and track my progress properly, not in a vague “I think I did something today” way but with real structure and accountability. Naturally, I turned to productivity and habit-tracking apps. Too Slow: Switching contexts to a separate app and clicking through menus just to log a task felt cumbersome and killed my flow. Too Distracting: Notifications, overly complex UIs, and features I didn't need turned "checking a box" into a time-sink. I realized what I needed wasn't another habit tracker; it was a system built for speed and duality. I needed to be able to log a quick win in the terminal without leaving my codi…  ( 8 min )

Why I'm Sharing This I'm sharing my journey and knowledge to inspire others - especially tech-loving and open-source-loving people. This is how I learned, how I built, and how I think. Maybe it can help or inspire someone else. About Open Source: Right now, my mindset is that I like to donate my works to open source. I believe in sharing knowledge and code freely with the community. I don't know what the future holds or how my thinking might change, but today, this is what I believe in - contributing to the open-source ecosystem and making my work available for everyone. I'm 17 years old, and I created Qeltrix (V1-V6) - a cryptographic file container system. But here's what makes this journey unique: I didn't write most of the code traditionally. Instead, I designed the entire architectu…  ( 14 min )

Barefoot shoes are a modern type of footwear designed to give the feeling of walking barefoot while still protecting your feet from the ground. Unlike traditional shoes with thick soles and heavy cushioning, barefoot shoes are thin, flexible, and shaped like the natural human foot. They allow your feet to move freely, strengthen muscles, and improve balance—just like nature intended. What Are Barefoot Shoes? Key Features of Barefoot Shoes Zero Drop Sole The sole is flat from heel to toe. There is no raised heel. This encourages natural walking posture and reduces pressure on knees and back. Wide Toe Box The front area of the shoe is wider than normal. This allows the toes to spread out naturally, improving balance and stability. Thin and Flexible Sole The sole is usually 3–10 mm thick. It …  ( 8 min )

When I started learning cybersecurity, I understood the basic idea of hashing and encryption. But later I saw that the real world uses many extra pieces like TLS, RSA, HMAC, PBKDF2, Argon2, cipher suites, trust chain, PKI, and more. These are all connected. In this article I try to explain how hashing, encryption, and encoding work in real cybersecurity systems. ✅ 1. Encoding: Format Change Only Encoding only changes data format. It does not give security. Examples: Base64 URL encoding ASCII UTF-8 Encoding is used for transport or compatibility, not protection. ✅ 2. Hashing: One Way Protection Hashing creates a fixed-size output called a message digest. Important hashing terms Message digest – the result of a hash function Collision – two different inputs produce the same hash Collision re…  ( 9 min )

Performance of web applications is critical for several reasons. The first thing it does is change how users feel. User frustration and eventual product abandonment can result from pages and apps that take too long to load. Search engines also heavily consider how fast a website loads. Particularly, Google has acknowledged that page load times are considered by all of its product ranking algorithms. Conversion rates and income can both benefit from faster page loads. Users have high expectations when they visit your website. They might not be very understanding if the site takes a while to respond. People prefer websites that take less than two seconds to load. If there's any kind of delay beyond this point, the user is likely to leave the site, which will dramatically increase your bounce…  ( 11 min )

Table of Contents 1.Introduction If you’re just getting into fishing, one of the first things you’ll face is choosing the right type of reel. It might sound simple, but ask any angler, and you’ll get a dozen different opinions! The biggest debate? Whether beginners should start with a bait casting reel or stick with a spinning reel combo. This guide breaks down both options in plain, easy-to-follow language so you can decide which reel fits your fishing journey best. By the end, you’ll know which one helps you learn faster, cast smoother, and hook more fish with confidence. A bait casting reel is all about control and precision. It sits on top of the rod, with the spool spinning as you cast. That design lets you drop your lure exactly where you want it, which is a huge deal if you’re ch…  ( 8 min )

This is Day 3 of the Building a SaaS Solo - Design, Implementation, and Operations Advent Calendar 2025. Yesterday's article covered "Tech Selection for AI-Driven Development." Today, I'll explain the overall project structure using Next.js + Supabase + Vercel. For Memoreru, which I'm developing, I adopted the Next.js + Supabase + Vercel stack. This combination is a popular choice for indie development. There are alternatives like Neon for databases or Cloudflare for hosting. I recommend comparing features and plans to find what works best for you. At my previous company, releasing a product involved these steps: Build and publish modules Upload to Azure KUDU Verify on staging environment Manually switch between staging and production With Vercel, all of this is automated by just pushing t…  ( 8 min )

Data engineering is evolving rapidly. Automation, artificial intelligence (AI), and low-code/no-code platforms are reshaping how organizations collect, process, and use data. These trends make operations faster, more efficient, and accessible to a wider audience, enabling better business decisions and competitive advantage. Shape *Automation: Streamlining Data Operations Automation is transforming traditional data engineering. Repetitive tasks like ETL (Extract, Transform, Load), schema validation, and pipeline orchestration are now handled by intelligent systems. Tools such as Apache Airflow, AWS Glue, Google Cloud Dataflow, and Databricks Delta Live Tables simplify workflows, improve reliability, and scale easily. *Real-World Examples: Netflix automates data ingestion and transfor…  ( 8 min )

Uatu is an AI agent that troubleshoots your servers using Claude. It connects symptoms across CPU, memory, network, and disk to find root causes. $ uatu You: why is my server slow? Uatu investigates: checks load average, finds high CPU processes, analyzes memory pressure, looks for I/O bottlenecks. $ journalctl -u myservice | uatu "why did this crash?" Uatu analyzes the logs and correlates with system state. Commands require approval before execution: ⚠ Bash Command Approval Required Risk Level: Standard du -sh /var/log/* | sort -rh | head -10 ○ Allow once → Always allow 'du' ○ Deny Approval prompts with risk categories Allowlist for auto-approving safe commands Audit log tracks all security decisions Read-only mode uses MCP tools only (no bash) Dangerous patterns (credential…  ( 7 min )

Most “free” marketing resources come with invisible strings. UpMails started in 2024 as an internal wiki for our micro-agency VectorForge. Every time we cracked a campaign, we documented the exact steps, screenshots, and KPI deltas. One afternoon a junior strategist asked, “If this works so well, why keep it client-only?” We couldn’t think of a good answer, so we stripped the branding, exported the Notion, and shipped everything to a $5 VPS. Traffic doubled overnight—turns out marketers love assets that don’t ask for anything back. https://upmails.eu No signup. No paywall. No guilt. Go make something bigger—we’ll keep adding fuel to the fire.  ( 7 min )

Large Language Models (LLMs) have become incredibly powerful at generating fluent, human-like text. But they come with a major flaw: In this post, we’ll understand why hallucinations happen and explore practical reasoning-based techniques to reduce them. Hallucination isn't a bug — it's a natural consequence of how LLMs work. LLMs are trained to predict the next token, not to verify facts. If the model has never seen a particular fact or topic clearly in training data, it will guess based on patterns. Rare topics Very new information Domain-specific technical questions If a prompt presupposes a false fact, the model tends to follow the user’s framing. A naïve model will try to answer instead of correcting you. LLMs don’t have a database or knowledge graph by default. How to Reduce Hallucin…  ( 8 min )

The feed never ends. LinkCircle is a small, editorial platform where real website owners publish original, helpful articles—no ghost-written fluff, no SEO Mad Libs, no “we inserted the keyword 47 times so you don’t have to.” Every piece is reviewed by a human editor (hi, that’s me) before it goes live, and every author has to prove they actually own the site they’re talking about. The result is a living library of insights you can trust, written by people who’ve skin in the game. https://linkcircle.eu No algorithms. No growth hacks. Just people sharing what they learned the hard way.  ( 7 min )

Transforming Visitors into Loyal Leads: Mastering Elementor's Form Widget for WordPress In the dynamic world of digital marketing, capturing user attention is one thing; retaining it and converting casual visitors into engaged leads is an entirely different challenge. Many website owners grapple with high bounce rates, seeing potential customers leave their site without any interaction. For businesses built on WordPress, harnessing the right tools is paramount to overcoming this hurdle. This is where Elementor, the leading drag-and-drop page builder, steps in, offering a robust solution that empowers you to forge meaningful connections: its versatile Form Widget. Why Engagement Matters: The Core of Digital Success Imagine a potential client landing on your meticulously designed website. Th…  ( 8 min )

Integrate Voice AI with Salesforce for Lead Qualification TL;DR Most Salesforce voice integrations break when leads hang up mid-qualification—you lose partial data and can't resume. Here's how to build a VAPI voice agent that writes lead scores to Salesforce in real-time, handles interruptions, and triggers workflows based on qualification criteria. Stack: VAPI for voice AI, Twilio for telephony, Salesforce REST API for CRM writes. Outcome: Automated lead qualification that captures every interaction, even incomplete calls, and routes hot leads instantly to sales reps. API Access: VAPI API key (from dashboard.vapi.ai) Salesforce Connected App credentials (Consumer Key + Secret) Twilio Account SID + Auth Token (for phone number provisioning) OAuth 2.0 refresh token for Salesfor…  ( 16 min )

Unlock Engagement: Master the Elementor Form Widget for WordPress Lead Generation In the dynamic world of digital marketing, your website is often the first point of contact with potential customers. But simply attracting visitors isn't enough; the real challenge lies in transforming those fleeting visits into meaningful interactions and, ultimately, loyal customers. For WordPress users, the answer to this critical need often lies in powerful tools that facilitate seamless communication. This is where the Elementor Form Widget shines, providing a robust, intuitive, and highly customizable solution to capture leads, gather feedback, and enhance user engagement directly on your site. Many website owners struggle with bounce rates, where visitors arrive, look around, and leave without taking …  ( 9 min )

AWS and Google have announced a collaborative multi-cloud network solution, marking one of the industry’s most unexpected yet impactful partnerships. The solution aims to solve the growing complexity enterprises face as they deploy workloads across different cloud platforms. It enables consistent performance, shared security policies, and automated connectivity between AWS and Google Cloud environments. This move is trending as organizations increasingly lean toward multi-cloud for flexibility, redundancy, and cost efficiency. Background & Context Key Facts / What Happened multi-cloud network solution provides interoperable routing between AWS and Google Cloud, allowing workloads to communicate without manual configuration overhead. It includes integrated security segmentation, shared traf…  ( 7 min )

React is a great tool for making user interfaces because it is modular, can be used again and again, and renders quickly with the virtual DOM. But there are unique difficulties to be aware of when dealing with React. Complex issues such as scalability, productivity tuning, and state management require a combination of technical knowledge and analytical thinking on the part of developers. Here we'll take a look at the most common challenges encountered by React developers and provide some practical solutions on how to fix them. Managing different kinds of data and state is a common requirement for React applications. Efficiently managing state across components can become more challenging as your application grows. Sharing and syncing state across numerous components can cause confusion and…  ( 13 min )

For the Kiroween Hackathon 2025, our mission was simple: blend the ultra-minimalist, nostalgic aesthetic of the late '90s web with a powerful, real-time network engine. The result is NetSpeak, a fully functional, ugly-chic chat application. It might look like it runs on a 56k modem, but under the hood, it's blazing fast. The Stack: Old Look, New Muscle We kept the frontend deliberately bare-bones (vanilla HTML, CSS, JS) to nail that retro vibe. However, the communication layer is all modern efficiency: Backend: Node.js / Express.js Real-time: Socket.IO Aesthetic: Pure, unadulterated, intentionally bad CSS. The contrast is the core feature: incredibly low-latency performance hidden behind a deliberate commitment to nostalgia. The Secret Weapon: Kiro AI Frankly, we couldn't have finished NetSpeak in time without Kiro, our AI-powered IDE. Kiro's lightweight design and streamlined UI/UX were game-changers. The AI Autopilot feature was particularly invaluable. It took over the scaffolding of our Express server and the complex setup of our real-time Socket.IO connections. By continuously catching and correcting small syntax and logic errors, Kiro allowed us to focus purely on the core concept and design implementation, dramatically accelerating our development cycle. Conclusion NetSpeak is a testament to what's possible when you couple a minimalist vision with maximum-power AI tooling. It was a blast to build, and we're proud of the hauntingly efficient performance we achieved. Developed for the Kiroween Hackathon 2025.  ( 6 min )

Look, we all started 2025 with a beautiful spreadsheet. Color-coded tabs. Projected ROI that would make a CFO weep with joy. Maybe you even had a deck with those gradient charts that look impressive in meetings. And then reality happened. Here's the thing about marketing budgets: they're aspirational documents masquerading as financial planning. By December, that meticulously planned allocation looks about as accurate as a weather forecast from six months ago. The paid social budget got blown in Q2 when CPMs spiked. The content strategy pivoted three times. And that experimental budget for "emerging platforms"? Yeah, nobody can quite remember what that money actually bought. But December is when we get honest. Not because we're suddenly virtuous, but because Q1 2026 budget decisions are ha…  ( 13 min )

Connecting n8n's visual workflow automation with LangBot's multi-platform bot framework creates a powerful, code-free way to deploy AI chatbots across QQ, WeChat, Discord, Telegram, Slack, and more. This tutorial shows you how to integrate these tools in minutes. Python 3.8+ installed Node.js 18+ installed npm or npx available 15 minutes of your time LangBot is a production-ready bot framework that connects to multiple messaging platforms and AI services including Dify, FastGPT, Coze, OpenAI, Claude, and Gemini. Deploy it instantly: cd your-workspace mkdir -p langbot-instance && cd langbot-instance uvx langbot@latest On first launch, LangBot initializes automatically. Open http://127.0.0.1:5300 in your browser. Register your admin account when prompted. You'll land on the dashboard where…  ( 8 min )

🔎 ML Observability & Monitoring — The Missing Layer in ML Systems Part 7 of The Hidden Failure Point of ML Models Series Most ML systems fail silently. Not because models are bad… Not because algorithms are wrong… But because nobody is watching what the model is actually doing in production. Observability is the most important layer of ML engineering — yet also the most neglected. This is the part that determines whether your model will survive, decay, or collapse in the real world. Traditional software monitoring checks: CPU Memory Requests Errors Latency This works for software. But ML models are different. They fail in ways standard monitoring can’t detect. three extra layers: Data monitoring Prediction monitoring Model performance monitoring Without these, failure…  ( 9 min )

Leave a comment below to introduce yourself! You can talk about what brought you here, what you're learning, or just a fun fact about Reply to someone's comment, either with a question or just a hello. 👋 Come back next week to greet our new members so you can one day earn our Warm Welcome Badge!  ( 6 min )

I originally posted this post on my blog. I'm not an AI evangelist, and I'm not a hater either. I've tried AI for coding. And after a week or two, I noticed how dependent I was becoming. Since then, I've used AI for small coding tasks, like generating small functions or finding typos, not to treat English as my main programming language. Marcus Hutchins, a security researches, puts it boldly in his post Every Reason Why I Hate AI and You Should Too: I'd make a strong argument that what you shouldn't be doing is "learning" to do everything with AI. What you should be doing is learning regular skills. Being a domain expert prompting an LLM badly is going to give you infinitely better results than a layperson with a "World’s Best Prompt Engineer" mug. I agree with the core message. When everybody is relying on AI, it's time to go back to old-school habits: Read code Write trustworthy tests Devour classic textbooks Troubleshoot bugs with pen and paper And outside coding: read books on paper, take notes by hand, and write our own summaries. To develop taste and judgment. Using AI is like holding a calculator on a math exam. Even the best calculator is useless if you don't know what to compute. Build skills, then leverage AI. I used to think coding was only about cracking symbols. That's where AI shines. But coding is also about talking to non-tech managers, negotiating deadlines, and saying no politely. And that's why I wrote, Street-Smart Coding: 30 Ways to Get Better at Coding, to share the skills I wish I'd learned to become a confident coder. Get your copy of Street-Smart Coding here. It's the roadmap I wish I had when I was starting out.  ( 7 min )

AI is transforming software engineering faster than ever, but instead of replacing human developers, it’s becoming a powerful partner. Together, humans and AI are shaping a future where development teams are more productive, creative, and impactful. The future of coding isn’t about competition—it’s about collaboration. AI tools are great at handling repetitive tasks like generating code, running tests, and spotting bugs. This frees developers to focus on the parts of the job that machines can’t handle: creative problem-solving, strategic thinking, and designing solutions that really fit business needs. Humans bring something AI can’t replicate—contextual understanding, ethical judgment, and the spark of innovation. While AI can crunch data and suggest improvements, it’s the human developer…  ( 7 min )

Building a Horror Game in 8 Hours with Kiro AI For the Kiroween 2025 hackathon, I built Layers of Static - a psychological horror experience disguised as a vintage 1970s CRT television. The twist? An AI lives inside it, asking disturbing questions and giving creepy dares. The real story isn't what I built. It's how I built it. The hackathon's "Frankenstein" category challenged us to stitch together incompatible technologies into something unexpectedly powerful. My chimera: 1970s CRT aesthetics (scanlines, phosphor glow, chromatic aberration) Modern AI (Google Gemini for conversation) Voice synthesis (ElevenLabs TTS with a little girl's voice) Web Audio API (music box loops, audio ducking, sound effects) Normally, this would take weeks. With Kiro, I shipped in 8 hours. Kiro is an AI-power…  ( 9 min )

title: "A-Modular-Kingdom - The Infrastructure Layer AI Agents Deserve" https://masihmoafi.com/blog/a-modular-kingdom A-Modular-Kingdom The infrastructure layer AI agents deserve Every AI agent I built had the same problem: I kept rebuilding the same infrastructure from scratch. RAG system? Build it again. Long-term memory? Implement it again. Web search, code execution, vision? Wire them up again. After the third project, I stopped. I extracted everything into a single, production-ready foundation that any agent can plug into via the Model Context Protocol (MCP). A-Modular-Kingdom is that foundation. Start the MCP server: python src/agent/host.py Now any AI agent—Claude Desktop, Gemini, custom chatbots—instantly gets: Document retrieval (RAG) with Qdrant + BM25 + CrossEncode…  ( 8 min )

🟦 UNIT – I : Linux Introduction, File System & Basic Commands ⭐ 1. Introduction to Linux Linux is a free, open-source, secure and stable operating system. Based on UNIX, widely used in: Servers Cloud systems Networking Cybersecurity Development Known for: High security Fast performance Virus resistance Multiuser environment 2. Basic Features of Linux Multiuser & multitasking Portable & open-source Strong networking support Highly customizable Powerful shell & scripting 3. Flavors (Distributions) of Linux Common Linux distros: Ubuntu Debian RedHat (RHEL) Fedora CentOS Kali Linux Linux Mint 4. Advantages of Linux Free & open source Highly stable Virus free Powerful command line Supports programming & servers Community support 5. How Linux Accesses Files Linux uses…  ( 9 min )

Executive Summary The rapid integration of Large Language Models (LLMs) into production software has exposed a critical interoperability bottleneck. As developers attempt to bridge the gap between reasoning engines (like Claude 3.5 Sonnet, GPT-4o) and proprietary data sources (PostgreSQL, Slack, GitHub), the industry faces an "N×M" integration problem. Every new model requires unique connectors for every data source, resulting in fragmented, brittle ecosystems. The Model Context Protocol (MCP), introduced by Anthropic in late 2024, emerges as the "USB-C for AI," establishing a standardized, open-source specification that decouples intelligence from data. This report serves as an exhaustive technical resource designed to enable a development team to implement, deploy, and disseminate MCP …  ( 15 min )

Today is about Phishing🦈. Day 2 Room Link. Attackbox and Targetbox. TryHackMe lets us spin up a GUI Attackbox for 1 hour each day; Targetbox dont have a such limit. Or, I can use my own laptop as the Attackbox; Or I can use a linux VM in Virtualbox and use that as my Attackbox For option 2,3 we have to be in the same network as the Targetbox, hence install Openvpn and download+import TryHackMe's networking configuration file(.ovpn). TryHackMe has a practice room for a step-by-step guideline. But for today's tasks it's better to use their Attackbox; a server.py file is made for us to use. In fact the Attackbox usually comes equipped with lots of tools that we may need to solve a room... unless you already have a 5TB fully loaded kali linux VM in your machine to h@ck planet Mars. In task …  ( 7 min )

Introduction The Model Context Protocol (MCP) is transforming how AI applications interact with data sources. While weather servers and basic examples are great starting points, most real-world applications need database access. In this guide, we'll build a production-ready MCP Server for PostgreSQL that allows Claude, VSCode, and any MCP client to query your database safely and efficiently. By the end, you'll have: A fully functional PostgreSQL MCP Server Examples for SELECT queries, aggregations, and data retrieval A public repository you can deploy to production Integration with Claude Desktop and other MCP clients Imagine asking Claude: "What are our top 10 customers by revenue this quarter?" Or: "Show me all incidents from the past 7 days with critical severity." With a PostgreSQL M…  ( 9 min )

Lifecycle rules: improve security Better maintenance of resources control over the resources There are 6 rules to manage the lifecycle ignore_changes prevent_destroy replace_triggered_by create_before_destroy precondition postcondition 1. Create before destroy: This reduces the downtime while making changes (Zero-downtime deployment) example: // main.tf // Create before destroy to avoid downtime resource "aws_instance" "instance" { ami = "ami-0f64121fa59598bf7" instance_type = "t3.micro" region = tolist(var.allowed_region)[0] tags = var.tags lifecycle { create_before_destroy = true } } 2. Prevent destroy: // main.tf // prevent destroy to avoid accidental deletion resource "aws_s3_bucket" "bucket" { bucket = "${var.username}-bucket-${var.environment}-d…  ( 7 min )

The Real Challenge in E-commerce Data Collection When building an AI-powered product selection model, you quickly face a frustrating reality: data services claiming "comprehensive coverage" often capture less than 40% of front-end visible products. This isn't a data quality issue—it's a technical ceiling. Over the years of building e-commerce data collection systems, I've encountered countless challenges and finally developed a solution that consistently achieves 95%+ coverage of front-end visible products. Today, I'm sharing this complete technical approach with you. Before diving into the technical solution, we need to clarify a critical question: What exactly does "coverage rate" mean? Amazon's category database may store millions of ASINs, but these products exist in vastly different…  ( 10 min )

Introduction: Ethereum’s Most Ambitious Step Since the Merge Today marks one of the most significant milestones in Ethereum’s technical history the Fusaka upgrade is now live on mainnet. Activated on December 3, 2025, Fusaka fuses together the Osaka execution layer update and the Fulu consensus layer update, forming what the community collectively calls “Fusaka.” This isn’t just another hard fork — Fusaka represents a full-stack architectural evolution. It redefines Ethereum’s data availability layer, economic structure, and execution performance, laying the foundation for rollup scalability without compromising decentralization. At the heart of this upgrade lies PeerDAS (Peer-to-Peer Data Availability Sampling) — a system that allows nodes to verify data without downloading it all. Alon…  ( 9 min )

A purely monetary view of yacht maintenance and living costs misses a critical factor: the value of your own labor. For the hands-on liveaboard, time and skill are a direct currency that can be exchanged for dramatic cost savings. Calculating this “Owner-Operator Dividend” reveals the real economic picture and highlights the skills with the highest return on investment. To quantify savings, first establish a local market rate for marine labor. In many cruising areas, skilled technician rates range from $80 to $150 per hour. This becomes your “credit rate”—the amount you save for every hour of competent work you perform yourself. Not all tasks offer equal savings. Focus on high-frequency, moderately complex jobs that have a high labor-to-parts cost ratio. Top Tier (Highest Dividend): Preve…  ( 7 min )

Rust is not the first language that comes to mind when people think about data science. Most learners start with Python or R because of their libraries and simpler learning curve. However, Rust is gaining attention due to its speed, reliability, and ability to handle large-scale computations efficiently. Developers who work on performance-heavy systems or want safer, low-level control are exploring Rust as an option. This growing interest naturally raises a question: Can Rust support data science tasks well enough to be considered a practical choice? Rust can be good for data science, but the answer depends on what you need. It is fast, memory-safe, and reliable, which makes it suitable for large datasets and production-grade systems. However, Rust’s data science ecosystem is still develop…  ( 8 min )

🟦 UNIT – I : OS Basics, Types, Services, Structure, System Calls ⭐ 1. Operating System – Definition An Operating System (OS) is system software that manages computer hardware, executes programs, and provides a user-friendly environment for running applications. It acts as an intermediary between user and hardware. 2. Functions of Operating System Process Management Creates, schedules, and terminates processes. Memory Management Allocates memory to programs. Performs deallocation when program ends. File Management Creates, deletes, and organizes files. Device Management Controls hardware devices (printers, disks, keyboard). Security & Protection Prevents unauthorized access. Error Detection Detects and handles system errors. Resource Allocation Manages CPU, memory, disk,…  ( 10 min )

Hey devs and hardware hackers! In the wild world of embedded systems, where processing power meets programmable flexibility, few chips pack the punch of Intel's Arria 10 series. Today, we're cracking open the 10AS016E4F27E3SG—a beast of an SoC FPGA that's redefining what's possible in edge computing, real-time control, and AI-accelerated prototypes. Whether you're building industrial robots, 5G gateways, or custom video pipelines, this little (well, not-so-little) guy is your ticket to high-performance without the bloat. Core Processor: Dual ARM Cortex-A9 MPCore with CoreSight debug—up to 1.5 GHz. Run embedded Linux (hello, Yocto builds!) or bare-metal RTOS for deterministic control. Compared to older Xilinx rivals or even Intel's own Cyclone line, the 10AS016 shines in transceiver densi…  ( 9 min )

Neo Do you always look at it encoded? Cypher Well you have to the image translators work for the construct program but there's way too much information to decode the Matrix. You get used to it. I, I don't even see the code. All I see is blonde, brunette, redhead. At the dawn of Internet commerce, Berners-Lee invented a simple document exchange and reader. Microsoft, then the gatekeeper to computer users with its flawed Windows 3.1 along with slow dial-up birthed CSS/JS, which turned the browser into a massive local executable to handle rendering and state. That historical accident created every front-end dev career. Built for ambiguity, human-centric computing—web GUIs, touch screens, the Matrix of our present reality—will be going away. The future has no need for your front-end f…  ( 9 min )

Almost all top AI apps' paywalls share one pattern: capability you've already felt the need for—right when you hit that need. Top-converting paywalls show up at high-intent moments—during your first session or when you hit a usage limit—and frame the upgrade as unlocking a capability you just tried to use. Contextual gating flow drives 12% median conversion vs. 2% for generic freemium Trigger at Capability ThresholdsGate when users try to access a premium feature or hit limits—not on settings pages. ChatGPT shows the paywall when you switch models; you understand exactly what you're paying for. 2.Lead with ONE Hero Tier ChatGPT has "Plus." Claude has "Pro." A single recommended tier reduces decision fatigue. Use a clear feature grid—avoid vague promises like "Premium Features." Convert Li…  ( 7 min )

For years we’ve circled around the same debate: The argument is familiar. Every re:Invent, my attention usually gravitates toward new features: better serverless capabilities, smarter managed services, or breakthrough technologies that unlock new design patterns. At a high level, it looks like a straightforward agreement: improve private connectivity between the two clouds, reduce complexity, and remove some historical pain points that made multicloud networking feel like a chore. Anyone who has tried to stitch AWS ↔ Google Cloud manually knows exactly what that pain feels like. However, the implications run deeper. This partnership opens the door to a possible future where cloud systems become increasingly agnostic, where architectural decisions are driven by capabilities—not by the limitations of network plumbing between providers. Yet there’s another way to read this move: Whether this collaboration becomes a turning point in cloud interoperability or simply a convenient handshake between two giants remains to be seen. What is certain is that the market has been demanding simpler, more stable, and less painful multicloud experiences—and this announcement suggests that the providers have finally started listening.  ( 7 min )

As cloud estates grow, maintaining the integrity of Infrastructure as Code (IaC) is a critical challenge. AWS CloudFormation provides the blueprint for our infrastructure, but the reality of day-to-day operations—manual hotfixes, temporary changes, and urgent interventions—inevitably leads to configuration drift. Detecting this drift is only half the battle. The real challenge, especially when managing hundreds of stacks, is prioritizing what to fix and cutting through the noise. What if you could move beyond simple alerts and build a closed-loop system that not only detects drift but allows your team to manage, acknowledge, and prioritize it, all from within your primary communication tools? This post details the architecture for just such a solution: an intelligent, interactive drift man…  ( 8 min )

🎯 Bias–Variance Tradeoff — Visually and Practically Explained Part 6 of The Hidden Failure Point of ML Models Series If overfitting and underfitting are the symptoms, the Bias–Variance Tradeoff is the underlying physics driving them. Most explanations of bias and variance are abstract and mathematical. But in real ML engineering, this tradeoff is practical, measurable, and essential for building resilient models that survive production. This article will finally make it intuitive. Bias is how wrong your model is on average because it failed to learn the true pattern. High bias happens when: The model is too simple Features are weak Domain understanding is missing Wrong model assumptions are made Examples: Linear model trying to fit a non-linear pattern Underfitted model Too mu…  ( 9 min )

Engineering the data, architecture, and reasoning behind deep-tier supply chain visibility Most teams can only see Tier-1 suppliers. Some advanced organizations map parts of Tier-2 or Tier-3. But almost no system today can reliably expose the deeper layers—Tier-4 to Tier-10—where the majority of structural supply chain risk actually lives. This article breaks down the engineering principles, system design, and data modeling approach behind building a Tier-10 global supply graph — not as a monolithic platform, but as a foundation for modular, A2A-compatible agents that developers can integrate directly into real systems. A single product may depend on: dozens of Tier-1 suppliers hundreds of Tier-2/3 suppliers thousands of deeper-tier producers, refiners, and upstream transform nodes …  ( 8 min )

Lesson 30: Conclusion and Continuous Learning ⏱ Duration: 1 hour 🎯 Learning Objectives: Review course key points, establish long-term learning and trading system After 30 lessons, you have mastered: ✅ Complete Freqtrade usage workflow ✅ Strategy development and testing methods ✅ Risk management and mindset control ✅ Complete path from backtesting to live trading ✅ Advanced techniques (multi-timeframe, grid, ML) Now, let's review the entire learning journey and look to the future. ┌─────────────────────────────────────────────────────────┐ │ Complete Freqtrade Quantitative Trading System │ └─────────────────────────────────────────────────────────┘ Part 1: Getting Started (Lessons 1-4) ├─ Environment installation and configuration ├─ Basic commands and tools ├─ Core conc…  ( 28 min )

第 30 课：总结与持续学习 ⏱ 课时：1 小时 🎯 学习目标：回顾课程要点，建立长期学习和交易体系 经过 30 课的学习，你已经掌握了： ✅ Freqtrade 的完整使用流程 ✅ 策略开发和测试方法 ✅ 风险管理和心态控制 ✅ 从回测到实盘的完整路径 ✅ 进阶技术（多时间框架、网格、ML） 现在，让我们回顾整个学习旅程，并展望未来。 ┌─────────────────────────────────────────────────────────┐ │ Freqtrade 量化交易完整体系 │ └─────────────────────────────────────────────────────────┘ 第一部分：基础入门（第 1-4 课） ├─ 环境安装和配置 ├─ 基本命令和工具 ├─ 核心概念理解 └─ 数据下载与管理 第二部分：回测实战（第 5-10 课） ├─ 运行第一次回测 ├─ 策略性能分析 ├─ 多时间框架测试 ├─ 策略对比和选择 ├─ 时间范围测试 └─ 交易对选择 第三部分：策略优化（第 11-15 课） ├─ Hyperopt 参数优化 ├─ 策略进阶分析 ├─ 评分系统建立 ├─ 风险管理配置 └─ 组合策略构建 第四部分：实时信号（第 16-20 课） ├─ Dry-run 模拟交易 ├─ Telegram Bot 集成 ├─ Web UI 和 API ├─ 可视化分析工具 └─ 模拟交易验证 第五部分：实盘交易（第 21-25 课） ├─ 交易所 API 配置 ├─ 实盘前检查清单 ├─ 小资金实盘测试 ├─ 交易监控与调整 └─ 风险控制与心态管理 ⭐ 第六部分：进阶专题（第 26-30 课） ├─ 自定义策略开发 ├─ 多时间框架策略 ├─ 高频交…  ( 11 min )

Lesson 29: Machine Learning and Strategy Optimization ⏱ Duration: 2.5 hours 🎯 Learning Objectives: Learn to use machine learning to assist strategy development and parameter optimization Machine Learning (ML) can help us: 🔍 Discover hidden patterns in data 🎯 Optimize strategy parameters 📊 Predict price trends 🤖 Build adaptive strategies Important Reminders: Hyperopt is Freqtrade's built-in parameter optimization tool that uses machine learning algorithms to automatically find optimal parameters. What is Hyperopt? - Automated parameter search - Uses Bayesian optimization algorithms - Searches for optimal parameters within specified ranges - Scores based on backtest results What can be optimized? - Buy condition parameters (RSI thresholds, EMA periods) - Sell condition parameters - R…  ( 15 min )

Modern machine learning workflows rely heavily on pretrained models—downloaded from GitHub, HuggingFace, and countless other model hubs. This convenience comes with a growing risk: model tampering, data poisoning, and hidden backdoors embedded in .pth checkpoints. To address this problem, we built Mithridatium, a lightweight open-source framework designed to verify the integrity of pretrained neural networks before they enter production or research pipelines. Why Mithridatium? Today’s ML ecosystem assumes that pretrained models are safe. In reality, the model file itself can be a silent attack vector: Mithridatium provides a command-line workflow to evaluate these risks through model-centric defenses, inspired by academic research, but simplified for real-world use. Offline Usage Once inst…  ( 7 min )

The quiet shift happening in tech, and why side projects, digital products, and content creation are becoming essential—not optional. ⸻ We Are Entering a Different Era for Developers Over the last year, the tech landscape has changed faster than any of us expected. AI coding assistants are now mainstream, automation is accelerating, and companies are restructuring teams at a pace that would have been unthinkable just a few years ago. For many developers—especially those who have been in the industry for a while—this can feel unsettling. But for others, it’s a wake-up call to shift how we think about our careers. The truth is simple: pure employment is no longer the only pillar of a dev career. Developers who thrive from now on will be the ones who view themselves not just as employees, but as micro-entrepreneurs with skills that can be packaged, monetised, and scaled in multiple ways. A business mindset doesn’t mean starting a huge company or raising money. It simply means seeing your skills as assets and treating your output as something that can generate income outside your day job. Even small, steady streams of income create resilience in a world where tech layoffs can happen overnight. Here are the forces pushing developers in this direction: AI will keep accelerating (and will eventually handle more junior coding tasks) Companies are shrinking engineering teams, not growing them Career transitions now happen every 2–3 years, not 10 Apps, digital products, and online content cost almost nothing to produce One developer can now build and launch full products solo This isn’t a crisis. This is an opportunity — if you start early.  ( 7 min )

Musical Interlude The movie version of Wicked is in theaters right now, so I am reminded of the song For Good -- but I'm gonna link to the Broadway version, because I'm classy like that. It's relevant to programming in Perl because "I don't know if I've been changed for the better, but I have been changed for good." For part two, Lido Shuffle by Boz Scaggs. Task 1: Good Substrings The Task You are given a string. Write a script to return the number of good substrings of length three in the given string. A string is good if there are no repeated characters. Example 1: Input $str = "abcaefg", Output: 5 Good substrings of length 3: abc, bca, cae, aef and efg Example 2: Input: $str = "xyzzabc", Output: 3 Example 3: Input: $str = "aababc", Output: 1 Example 4: Input: $str = …  ( 10 min )

The Context: An Open-Source Educational Tool I currently serve as the Tech Lead for DigitalBoneBox, an open-source educational platform designed to render high-fidelity anatomical resources for anatomy students. Our architectural constraints are unique: we needed a "database" that was completely open, version-controlled, and accessible to non-technical contributors (like anatomy professors) who might want to fix a typo or add a description without touching a database console. The solution? "GitHub-as-a-Database." We store our data (JSON files and images) in a specific data branch of our public repository. The application fetches this content via the GitHub Raw API to render the UI. While this lowered the barrier to entry for contributors, it introduced a critical engineering challenge: T…  ( 8 min )

Introduction: The Moment You Realize “Coding Alone Isn’t Enough” If you’ve ever sat staring at your computer thinking, “I can build great things… why is nobody hiring me?” — you’re not alone. Many developers feel awkward when it comes to promoting themselves. You want to code, not pitch. You want clients who appreciate your work — not to chase people around like a pushy salesperson. The good news? don’t need to be salesy to attract clients. communicate your value in a human, helpful way — the same way you solve problems in your code. This article shows you exactly how. Visual Suggestion: Alt-text: A developer connecting puzzle pieces representing skills and clients. Why Selling Feels Salesy for Developers (And Why It Doesn’t Have To) Most coders grew up learning technical skills — and almo…  ( 10 min )

SwiftUI is fast — but only if you use it correctly. Over time, you’ll run into: choppy scroll performance laggy animations slow lists views refreshing too often unnecessary recomputations async work blocking UI memory spikes from images 120Hz animations dropping frames This guide shows the real-world performance rules I now follow in all my apps. These aren’t theoretical — they fix problems you actually hit when building full SwiftUI apps. Let’s make your UI buttery smooth. 🧈⚡ SwiftUI re-renders the entire View when any @State/@Observed changes. This is bad: VStack { Header() ExpensiveList(items: items) // ← huge view } .onChange(of: searchQuery) { // whole view recomputes } This is better: VStack { Header() ExpensiveList(items: items) // isolated } And…  ( 8 min )

Privoxy is a free, open-source non-caching web proxy that filters HTTP/HTTPS traffic at the application layer to boost privacy, remove ads, manage cookies, and apply custom rules for content control. Privoxy excels in user-configurable filtering without storing pages. Highlights include: Ad and tracker blocking: Targets banners, pop-ups, and web bugs for cleaner, faster browsing. Cookie and header management: Strips tracking cookies, spoofs User-Agent, and hides Referer data. Proxy chaining: Forwards to Tor or SOCKS for anonymity. Access controls: IP-based restrictions and stealth mode for secure setups. Cross-platform: Runs on Linux, Windows, macOS at https://www.privoxy.org. sudo apt update && sudo apt install privoxy -y sudo systemctl start privoxy sudo systemctl enable privoxy Config at /etc/privoxy/config. Download installer from privoxy.org, run as admin. Install service: privoxy.exe --install. Edit C:\Program Files\Privoxy\config.txt. Edit config: Uncomment/set listen-address 127.0.0.1:8118. Enable actions: actionsfile default.action and actionsfile user.action. Add logging: debug 1 and logfile logfile. Reload: sudo systemctl reload privoxy (Linux) or restart service (Windows). Set browser proxy to 127.0.0.1:8118 for HTTP/HTTPS. Test at http://config.privoxy.org/show-status/. { +block{Ads} } .* /ads/ /banner/ /doubleclick.net/ Filters common ad paths. forward-socks5t / 127.0.0.1:9050 . forward-socks5 / 127.0.0.1:9050 . Routes all traffic via Tor. listen-address 0.0.0.0:8118 permit-access 192.168.1.0/24 Serves local network; firewall essential. Perfect for privacy enthusiasts, parents, or low-bandwidth users—unlike Squid (caching-focused) or Nginx (load balancing).  ( 6 min )

Product-market fit used to be a long, painful journey. But 2025 has changed the rules of the game forever. We now live in a world of instant prototypes. design a UI in minutes generate backend logic with AI validate ideas in hours ship MVPs in days pivot in real-time test 50 variations in a week This is the fastest learning environment in startup history. But ironically, this speed has created a new problem: Most founders confuse prototype momentum with market validation. Let’s break down what product-market fit actually means in an era where prototypes are cheap, fast, and everywhere. 1. Instant Prototypes Make It Easy to Build the Wrong Thing Quickly Just because AI lets you build fast, doesn’t mean the thing you built matters. In the old world: Slow building → slower mistakes High cost …  ( 11 min )

Check out this Pen I made!  ( 6 min )

Unlocking Time's Secrets: Temporal Pattern Recognition for System Anomaly Detection Imagine your servers are chirping like crickets, each chirp a system event. How do you tell a normal chorus from a sign of impending doom buried within a symphony of events happening at different times and durations? Standard time-series analysis often overlooks the critical when and how long of state changes. The key is understanding the interplay between event sequence and the time spent in each state. We've been exploring a novel approach we call Selective Temporal Difference (STD). It's designed to pinpoint similarities between sequences of events, not just by the order in which they occur, but also by how long the system resides in each state. STD cleverly sidesteps the pitfall of forced time alignme…  ( 7 min )

So… I built something. A small browser extension that tells you when a website you’re visiting might be using your data to train AI models. Not in a dramatic way. And I’d love your help making it better. I’ve been following AI news for a while, and one thing keeps bothering me: our data is being used to train models, but we’re rarely told how, where, or when. Some platforms are clear about it. Artists. Writers. Photographers. Developers. After a while, I realized: There’s no easy way to check who’s training on your data. WTOM (WhoTrainedOnMe) is a browser extension for Chrome, Chromium-based browsers, and Firefox. When you visit a site, WTOM checks if that platform: Trains AI on user data It’s not perfect, but my goal is to give users clarity — not fear. How WTOM Works (A Lot of Manual Res…  ( 9 min )

🚀 The Essential Patterns Behind Modern AI Agents A Practical Guide for Developers, PMs, Analysts & Business Leaders ✅ Artificial Intelligence agents are quickly becoming the backbone of next-generation software systems. They automate decision-making, coordinate tasks, call APIs, analyze data, and even interact with users like mini-employees who work 24/7. Regardless of the framework you use (LangChain, LangGraph, CrewAI, LlamaIndex, AutoGPT…), the smartest AI agents rely on the same set of architectural patterns. ✅ Understanding these patterns is the difference between: Building a confusing chatbot, or Designing a reliable multi-agent system that solves real business problems. This article breaks them down in a simple, real-world, business-friendly way. 🧩 What Is an AI Agent, Real…  ( 8 min )

Link: https://receipehub.dev Transforming Recipes Into Culinary Masterpieces Effortlessly Built with the tools and technologies: HTML, CSS, Tailwindcss, Shadnui, JavaScript, localstorage, next, react, resend, RestfulAPI (dummyjson) Table of Contents Overview Features Project Index Prerequisites Installation Usage Testing Why RecipeHub? This project simplifies creating engaing culinary communities by providing seamless localstorage integration, consistent UI design, and comprehensive content managment features. The core feature includes: v3 🧑‍💻 Firebase SDK integration: Real time analytics, authentication, database, storage, enhanced web security. 🍽️ Recipe Management: Real time detailed recipe pages, sharing, favorites, and search filters to enhance user engagement. Email service: App…  ( 8 min )

O que é uma API? API significa Application Programming Interface (em português: Interface de Programação de Aplicações). Basicamente: API é um jeito de um sistema conversar com outro, trocando informações de forma organizada e seguindo regras pré-definidas. Ou seja, se um sistema quer pegar dados de outro, mandar informações, criar algo, atualizar algo… a API é quem faz essa ponte. Quando falamos de APIs como REST, elas se comunicam usando HTTP/HTTPS, o mesmo protocolo que tem no navegador. Tudo é feito através de URLs chamadas endpoints. Endpoint = endereço onde o serviço da API está disponível. : pediu → recebe algo de volta. A API responde com: dados, confirmação,ou um erro dizendo o que deu errado. E sempre vem acompanhado de um status code. 200 – OK → Deu bom. Quando você acessa um endpoint, você sempre usa um método. GET – Buscar dados POST – Enviar dados (criação de recurso) PUT – Atualizar um recurso existente PATCH – Atualizar parte de um recurso DELETE – Deletar um recurso Os formato de Dados, hoje em dia, a maioria das APIs usa JSON. { JSON é leve, fácil de ler e funciona bem com praticamente todas as linguagens. São informações adicionais que você envia na requisição. Tipo do conteúdo (JSON) Token de autenticação Idioma Permissões Sem headers, várias APIs nem deixam você acessar. Nem toda API é aberta. Muitas exigem uma maneira de provar que você tem permissão. Os mais usados: API Key Bearer Token JWT OAuth2 APIs mudam com o tempo. Por isso existe versionamento: /api/v1/clientes Exemplo Bem Simples de API com Spring Boot Você pode criar pelo Spring Initializr: https://start.spring.io/ Depois, uma API simples: @RestController Código fonte de uma api simple: https://start.spring.io/ https://www.linkedin.com/in/isaac-bessa-044a14321/  ( 7 min )

Je suis le "What's new" d'AWS de façon quasi quotidienne depuis plus de 7 ans. J'ai trouvé certaines éditions de re:Invent excitantes, d'autres décevantes.. mais j'ai rarement éprouvé le sentiment de submersion face à l'explosion d'annonces du jour. L'annonce la plus importante de la Keynote de Matt Garman ↗️ est sans doute la disponibilité immédiate de 3 agents à durée de vie longue. Jusqu'ici, l'IA agentique s'appuie sur des agents qui doivent à chaque tâche redécouvrir le contexte (comment est structuré le projet, quels profils CLI sont dispo pour qu'ils accèdent aux API, ce qu'ils ont le droit de faire ou non, les choix d'architecture) ; il y a besoin d'interactions fréquentes avec le "pilote" pour les garder "on-track". L'agent Kiro autonome↗️ se propose de résoudre cette limite av…  ( 9 min )

If there is one thing time has taught me working in IT, it is this: getting stuck with what you already know is the fastest path to being left behind. Our field evolves constantly. You do not need to learn something new every month, but you should widen your possibilities. Learning new languages, frameworks, tools or paradigms expands your technical vision and makes you more versatile to solve real problems. It is even better when your company gives you freedom to experiment with new technologies, as long as it does not turn into chaos. Choosing technology is not about what seems cool, but about what makes sense for the context of the project. In your personal projects, explore without fear because that is where real growth happens. If I were to recommend a set of technologies today for so…  ( 8 min )

Created as part of my learning experience in the ParoCyber Ethical Hacking Program. Penetration testing is one of the most exciting areas of cybersecurity, but before any testing begins, you must have clear authorization, documented scope, and well-defined rules to protect both the tester and the client. This article introduces a beginner-friendly walkthrough of what a Penetration Testing Agreement is, why it matters, and how you can use the open-source LDWIT template in your own labs, projects, or ethical hacking studies. A link to the full GitHub version (including the Agreement + SOW template + PDF) is included at the end. Note: I developed this agreement targeting my own areas of interest. This is not a concrete example; service agreements may vary greatly depending on industry and sco…  ( 9 min )

Understanding the checkpoint-based execution that makes long-running workflows possible You write an AWS Lambda function that looks like it runs continuously for hours. But Lambda functions can only run for 15 minutes. How does this work? The answer is replay - a checkpoint-based execution model that makes your function restart from the beginning on every invocation, but skip the work it's already done. It's elegant, efficient, and once you understand it, surprisingly intuitive. Here's the fundamental truth about durable functions: Your handler function re-executes from the beginning on every invocation, but completed operations return cached results from checkpoints instead of re-executing. Let's see this in action with a simple workflow: async function processOrder(event: any, ctx: Durab…  ( 11 min )

Introduction Dependabot automatically detects dependency updates and creates pull requests, but manually merging each one can be tedious. Patch updates (security fixes and bug fixes) typically have limited impact, making them safe candidates for automatic merging. This article explains how to implement a GitHub Actions workflow that automatically merges Dependabot patch updates. The following workflow automatically merges only patch updates (version-update:semver-patch) from Dependabot pull requests: name: Dependabot auto-merge on: pull_request_target: types: - opened - synchronize - reopened - ready_for_review permissions: {} defaults: run: shell: bash jobs: dependabot: runs-on: ubuntu-24.04 if: github.event.pull_request.user.login == 'd…  ( 8 min )

Many low-code platforms are fundamentally built around a CRUD model, typically offering a certain level of customization through built-in extension points (such as before-insert, after-insert, etc.). In the Nop platform, the CRUD model is not special; the built-in CrudBizModel is merely a regular BizModel, and the core of the Nop platform does not apply any special treatment to CRUD extension points. In this article, I will use CrudBizModel as an example to explain common extension approaches for implementing backend services in the Nop platform. Most service functions in CrudBizModel adopt two layers of abstraction. The upper-layer function calls the lower-layer implementation and uses parameters and callback functions to achieve customization. public PageBean findPage(@Optional @N…  ( 14 min )

Chatbots are widely adopted among software companies, especially those that interact heavily with customers. It is typically used for tasks such as customer support, answering questions, and providing information on websites, apps, and messaging plat...  ( 10 min )

If you’re working on complex Machine Learning projects, you’ll need a good Graphics Processing Unit (or GPU) to power everything. And Nvidia is a popular option these days, as it has great compatibility and widespread support. If you’re new to Machin...  ( 15 min )

Every time you check your smartwatch for heart rate, read the battery level of wireless earbuds, unlock a Bluetooth smart lock, or watch sensor data stream into an app, you are experiencing the result of GATT working quietly in the background. GATT i...  ( 31 min )

Model Context Protocol, or MCP, is changing how large language models connect with data and tools. Instead of treating an AI model as a black box, MCP gives it structured access to information and actions. It is like the USB-C port for AI, creating...  ( 8 min )

The state issued cease-and-desist orders to the firms to stop conducting "unlicensed online gambling" via their sports events contracts.  ( 32 min )

At the center of the upgrade is PeerDAS, a system that lets validators check small slices of data rather than entire “blobs,” reducing both costs and computational load for validators and layer-2 networks.  ( 35 min )

Sport clothing and collectibles giant Fanatics has launched Fanatics Markets, letting users trade outcomes of sports, politics and more — with crypto and IPO bets coming by 2026.  ( 32 min )

The oracle token outperformed most major cryptocurrencies as U.S. investors gained ETF access to LINK for the first time.  ( 32 min )

Difficulty and network valuation models point to BTC hovering around fair value near $90,000.  ( 32 min )

In a wide-ranging interview, Huang claims AI growth is gradual, powerful and already changing global power dynamics.  ( 32 min )

Distribution is designed to go to the ecosystem, With 30% to airdrops, 25% to growth initiatives, and 10% for liquidity and launch support.  ( 32 min )

CEO Brian Armstrong said top banks are "leaning into this as an opportunity," signaling Wall Street’s quiet embrace of crypto infrastructure.  ( 32 min )

Armed with CFTC approval, Polymarket has launched its mobile platform for sports and proposition markets under federal oversight.  ( 32 min )

The token tracked broader crypto sentiment on below-average volume, establishing an ascending trend.  ( 31 min )

The upgrade will boost throughput, keep validators efficient and, most importantly, strengthen Ethereum's value capture by putting a floor under blob fees.  ( 32 min )

Also: Anthropic On DeFi AI Agents, ETH Devs Push ZK Protocol, and Bitnomial  ( 39 min )

The Senate's process is inching forward on a mass-confirmation that would include two nominations with major crypto implications.  ( 33 min )

So-called "backwardation" — a futures price curve moving lower in value as time gets further out — can be read as a measure of stress in the market.  ( 32 min )

The new protocol, developed by Sentora and Flare Network, aims to combine XRP yield opportunity with offering protection against DeFi hacks.  ( 33 min )

The companies plan to tokenize auto loans, with the first portfolios expected to be available by early 2026.  ( 31 min )

Trading activity jumps 37% above weekly average despite modest price gains.  ( 32 min )

Built on Arbitrum, the perpetuals protocol has processed $25 billion in trading volume by offering self-custodial bets on gold, FX and other real-world markets.  ( 32 min )

Hedera gains on elevated volume while establishing support above $0.1427 during measured advance that coincides with significant institutional developments.  ( 33 min )

The world’s largest asset manager released its AI report with a bearish outlook on U.S. bonds and the country’s economy, and presented a bullish projection for crypto adoption.  ( 33 min )

In this week’s Crypto Long & Short Newsletter, Martin Bruncko writes that the next big step for stablecoins will be a credible, scalable euro-denominated stablecoin issued by the private sector, not another USD token. Then, we dive into the sharp post-holiday crypto selloff, the upcoming Fusaka upgrade, and why ETH’s role is crucial in leading any broader market recovery — with Andy Baehr’s “Vibe Check.  ( 41 min )

The company lifted STRC’s payout after the preferred stock again slipped below its $100 par value.  ( 31 min )

A recent $1 billion funding round led by Paradigm puts Kalshi co-founders Luana Lopes Lara and Tarek Mansour on the billionaire list.  ( 32 min )

STON.fi, TON's largest DeFi protocol, launched a fully onchain DAO, enabling users to vote on governance decisions and receive tokens representing voting power.  ( 32 min )

The rating agency's Tether downgrade flags redemption risk, potentially nudging institutions to higher-rated stablecoins and tokenized deposits.  ( 33 min )

Funds will be allocated to developing stablecoins, credible oracle feeds, cross-chain bridges, custody integrations, and analytics tooling, among other enhancements.  ( 32 min )

The bitcoin miner turned AI compute provider tumbled on Tuesday and is now down nearly 50% over the past month.  ( 33 min )

The Startale USD token, developed with M0, aims to power payments and rewards across the electronics giant Sony's Web3 ecosystem.  ( 32 min )

Employees of the tech giant told The Information that some divisions failed to deliver on their targets in 2025, leading to lower expectations for the year ahead.  ( 32 min )

Sui (SUI) was also a top performer, rising 6.5% from Tuesday.  ( 28 min )

Stable and Theo committed over $100 million to ULTRA, a tokenized U.S. Treasury fund managed by FundBridge Capital and Wellington Management.  ( 33 min )

Antithesis said its Series A will scale deterministic simulation testing, replaying complex failures exactly for crypto and other always-on systems.  ( 32 min )

DOT outperformed the broader crypto market as a 60% volume surge validated the breakout above a critical technical threshold.  ( 31 min )

The Blockchain Association's COO, Allie Page, is leaving to be the inaugural director of AIP, which is focused on educational events for decision makers.  ( 32 min )

The deal would rename Sinsiway as Parataxis ETH, Inc. and make it South Korea's first ether-focused treasury platform backed by U.S. institutional capital.  ( 32 min )

The sustained accumulation of capital by spot XRP ETFs is establishing XRP as the fastest-growing major crypto-asset vehicle.  ( 32 min )

Your day-ahead look for Dec. 3, 2025  ( 37 min )

A broad rally lifted major tokens on Wednesday, with bitcoin and ether bouncing and the majority of altcoins surging, even as ZEC extended a weekly slide.  ( 34 min )

The Property (Digital Assets etc) Act received Royal Assent on Tuesday, the final step of an act becoming law after being passed by the U.K. Parliament.  ( 31 min )

A removal could lead to outflows of up to $8.8 billion if other index providers follow suit because the stock is part of many passive investment products.  ( 32 min )

Babylon is also planning to introduce Bitcoin-backed DeFi insurance, letting BTC holders earn yield while underwriting risk against hacks and exploits.  ( 32 min )

Regulators have not decided whether the token will be tied to the Taiwan dollar or the U.S. dollar, a choice that will determine how deeply it tests the island’s currency controls.  ( 32 min )

IBIT options are the ninth largest in the U.S.  ( 33 min )

The new leadership role was announced by the current Binance CEO Richard Teng at Binance Blockchain Week in Dubai.  ( 32 min )

Glassnode and Fasanara’s year-end report shows record inflows, rising realized cap, and falling volatility, suggesting the latest pullback is a mid-cycle reset rather than the start of a long downturn. Present market dynamics point to a mid-cycle pullback rather than a full-blown crypto winter, Glassnode and Fasanara argued.  ( 33 min )

Key resistance levels were tested, with momentum indicators supporting continued bullish movement.  ( 33 min )

The $6,500 call option on Deribit is the most popular, with a notional open interest of over $380 million.  ( 31 min )

The recovery followed a washout in derivatives markets, where roughly $457 million in short positions were liquidated in the past 24 hours.  ( 33 min )

XRP Ledger network activity surged to multi-year highs, with 40,000 account set operations  ( 32 min )

Ether looks north after a confirmed bear trap.  ( 32 min )

The deal brings market-implied probabilities into CNN’s newsroom and introduces a Kalshi-powered ticker for segments that rely on event contracts.  ( 31 min )

Just a few short weeks ago, Google debuted its Gemini 3 model, claiming it scored a leadership position in multiple AI benchmarks. But the challenge with vendor-provided benchmarks is that they are just that — vendor-provided. A new vendor-neutral evaluation from Prolific, however, puts Gemini 3 at the top of the leaderboard. This isn't on a set of academic benchmarks; rather, it's on a set of real-world attributes that actual users and organizations care about.  Prolific was founded by researchers at the University of Oxford. The company delivers high-quality, reliable human data to power rigorous research and ethical AI development. The company's “HUMAINE benchmark” applies this approach by using representative human sampling and blind testing to rigorously compare AI models across a va…

Presented by Celonis When tariff rates change overnight, companies have 48 hours to model alternatives and act before competitors secure the best options. At Celosphere 2025 in Munich, enterprises demonstrated how they’re turning that chaos into competitive advantage — with quantifiable results that separate winners from losers. Vinmar International: Theglobal plastics and chemicals distributor created a real-time digital twin of its $3B supply chain, cutting default expedites by more than 20% and improving delivery agility across global operations. Florida Crystals: One of America's largest cane sugar producers, the company unlocked millions in working capital and strengthened supply chain resilience by eliminating manual rework across Finance, Procurement, and Inbound Supply. AI pilots …

One problem enterprises face is getting employees to actually use the AI agents their dev teams have built.  Google, which has already shipped many AI tools through its Workspace apps, has made Google Workspace Studio generally available to give more employees access to design, manage and share AI agents, further democratizing agentic workflows. This puts Google directly in competition with Microsoft’s Copilot and undercuts some integrations that brought OpenAI’s ChatGPT into enterprise applications.  Workspace Studio is powered by Gemini 3, and while it primarily targets business teams rather than developers, it offers builders a way to offload lower-priority agent tasks.   “We’ve all lost countless hours to the daily grind: Sifting through emails, juggling calendar logistics and chasing…

Presented by Indeed As AI continues to reshape how we work, organizations are rethinking what skills they need, how they hire, and how they retain talent. According to Indeed’s 2025 Tech Talent report, tech job postings are still down more than 30% from pre-pandemic highs, yet demand for AI expertise has never been greater. New roles are emerging almost overnight, from prompt engineers to AI operations managers, and leaders are under growing pressure to close skill gaps while supporting their teams through change. Shibani Ahuja, SVP of enterprise IT strategy at Salesforce; Matt Candy, global managing partner of generative AI strategy and transformation at IBM; and Jessica Hardeman, global head of attraction and engagement at Indeed came together for a recent roundtable conversation about…

OpenAI is testing another new way to expose the complicated processes at work inside large language models. Researchers at the company can make an LLM produce what they call a confession, in which the model explains how it carried out a task and (most of the time) owns up to any bad behavior. Figuring out…  ( 24 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Everything you need to know about AI and coding AI has already transformed how code is written, but a new wave of autonomous systems promise to make the process even smoother and less…  ( 20 min )

In 1913, Henry Ford cut the time it took to build a Model T from 12 hours to just over 90 minutes. He accomplished this feat through a revolutionary breakthrough in process design: Instead of skilled craftsmen building a car from scratch by hand, Ford created an assembly line where standardized tasks happened in sequence,…  ( 17 min )

The holiday season is almost upon us, which means it’s time to pull out your flashiest outfits and put your best foot forward. And if you’re not quite sure how to do that, the Galaxy A17 has you covered! Not only is it a handy device for everyday use, but it also becomes a handy […] The post This Galaxy A17 Feature Might Just Make You The Best-Posing One This Festive Season appeared first on Lowyat.NET.  ( 38 min )

The Malaysian Communications and Multimedia Commission (MCMC) says child protection remains central to its mandate after identifying 957 cases involving child-related harmful content between 1 January 2024 and 30 November this year. According to the commission, platforms removed 899 of these cases (a 94% compliance rate) with social media platforms including Tumblr, TikTok and Facebook […] The post MCMC: 957 Cases Of Harmful Child-Related Content On Social Media Flagged This Year appeared first on Lowyat.NET.  ( 35 min )

Malaysia is expected to receive the first shipment of trains for the East Coast Rail Link  (ECRL) project by the end of December this year. The trains will comprise two Electric Multiple Units (EMU) for passengers, along with two electric locomotives (E-loco) for freights, and are expected to arrive at Kuantan Port. “The first set […] The post Malaysia To Take Delivery Of First ECRL Trains By End Of December appeared first on Lowyat.NET.  ( 34 min )

In addition to the Nubia Fold, the brand also launched the third generation clamshell foldable, the Flip3. It should come as no surprise that the cover screen here this time around is a lot larger. Large enough to cover the whole top half of the phone, in fact. Specifically, the Nubia Flip3 now features a […] The post Nubia Flip3 Launches In Japan; Features 4-Inch Cover Screen appeared first on Lowyat.NET.  ( 34 min )

Grab Malaysia has unveiled GrabAssist, its new dedicated service for passengers requiring mobility support and accessibility assistance, including Persons with Disabilities (PWDs), senior citizens, as well as individuals using personal mobility aids. This service aims to provide an accessible transport option for an underserved market. GrabAssist involves a collaboration with NGOs such as MFD and […] The post Grab Expands Mobility Access With GrabAssist Service appeared first on Lowyat.NET.  ( 35 min )

Nubia has had multiple clamshell-type foldables now in its Flip series of phones. But it has only recently released its first book-style foldable, dubbed simply the Fold. GSMArena found the phone on a listing by Japanese telco Y!mobile, complete with its spec sheet and price for said market. The Nubia Fold features an 8-inch 2,480 […] The post Nubia Fold Goes Official In Japan Following A Few Flip Entries appeared first on Lowyat.NET.  ( 34 min )

When Valve revealed the Steam Machine and Steam Frame last month, it willingly opened itself up to a slew of questions, with one standing out above the tide: Steam emulation on ARM-based devices, as was quietly demonstrated with the Frame. In an interview with The Verge, Pierre-Loup Griffais, one of the architects behind SteamOS and […] The post Valve’s Next Step: Steam On Mobile, Other ARM Devices appeared first on Lowyat.NET.  ( 36 min )

At this point, much has already been said about the upcoming DJI Osmo Pocket 4. The rumour mill has been churning out detail after detail on the yet-to-be-released vlogging camera, from a dual-sensor setup to the supposed presence of a second screen. Now, a new leak claims that some of the previously revealed information may […] The post No Second Screen For DJI Osmo Pocket 4, Says Leakster appeared first on Lowyat.NET.  ( 34 min )

Perodua launched its first EV, the peculiarly named QV-E, with an equally odd battery leasing plan. With the launch, the national carmaker has released a product disclosure sheet for said car and its accompanying battery leasing plan. And from it, we now know more about what it entails. If you need a refresher, the leasing […] The post Missed Lease Payments Can Lead To Perodua QV-E Being Unable To Start appeared first on Lowyat.NET.  ( 35 min )

Sony has officially introduced the Alpha 7 V, the fifth-generation model in its popular full-frame mirrorless lineup. The new camera is promised to deliver improvements across autofocus, colour accuracy, still image performance, and video capture. The Alpha 7 V features a partially stacked 33MP Exmor RS CMOS sensor and the updated BIONZ XR2 image processor, […] The post Newly Unveiled Sony Alpha 7 V Arriving In Malaysia By Mid-December 2025 appeared first on Lowyat.NET.  ( 37 min )

Malicious actors continue to adopt increasingly advanced tactics, making it more and more difficult to identify scams over the years. Now, Google is looking to address the issue by introducing a scam detection feature to its Circle to Search tool. To use the new capability, the user only has to activate Circle to Search and […] The post Circle To Search Can Now Spot Scam Messages appeared first on Lowyat.NET.  ( 34 min )

JBL is officially bringing its BandBox Solo and Trio speakers to Malaysia. The AI-powered speakers are designed specifically for musicians and their instruments. “JBL BandBox Solo is engineered for individual players who want to both simplify and level-up their practice setup without sacrificing sound quality or creative control. Despite its compact size, Solo is a […] The post JBL BandBox Solo And Trio Arriving This Month; Starts From RM1,499 appeared first on Lowyat.NET.  ( 35 min )

On top of spreading democracy across the galaxy, Helldivers 2 players on PC may also soon liberate a hefty amount of storage space. The game’s latest technical public beta on Steam includes a major optimisation update that drastically reduces its installation size, shrinking its installation by a significant 85%! In a post on the game’s […] The post Helldivers 2 Beta Liberates PC Installation Size By 85% appeared first on Lowyat.NET.  ( 35 min )

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Building a real-world client application is more than just writing code—it's about creating smooth, clean, reliable user experiences that scale in production. In this post, I'm sharing selected UI/UX previews from a recently delivered mobile app project, built completely from scratch with Flutter and Supabase. Clean Design, Flutter Implementation, and a Production-Ready User Experience I recently completed a client project where I designed and developed a production-ready mobile application tailored for job placement and talent management workflows. To respect confidentiality and protect core business logic, I’m sharing only selected UI/UX mockups and visual screens from the project. These previews highlight the design system, visual hierarchy, and real-world usability that guided the deve…  ( 7 min )

The task is to create a function to return the n-th number string in a sequence. n starts from 1. The boilerplate code function getNthNum(n) { // your code here } Start with the first number if(n === 1) return "1"; To get the next number, describe the digits of the previous ones. Count how many times the same digits appear one after the other. When it changes to a new digit, write the count down and the digit being counted. let result = "1"; for (let i = 2; i <= n; i++) { let current = ""; let count = 1; for (let j = 1; j <= result.length; j++) { if (result[j] === result[j - 1]) { count++; } else { current += count.toString() + result[j - 1]; count = 1; } } result = current; } After repeating the process n times, return the final string. return result The final code: function getNthNum(n) { // your code here if(n === 1) return "1"; let result = "1"; for(let i = 2; i <= n; i++) { let current = ""; let count = 1; for(let j = 1; j <= result.length; j++) { if(result[j] === result[j - 1]) { count++ } else { current += count.toString() + result[j - 1]; count = 1; } } result = current; } return result; } That's all folks!  ( 6 min )

🎬 Building a Movie Search App with Python + Streamlit (Using OMDb API) OMDb API is perfect for this — free, fast, and provides detailed movie information. This project includes two versions: Console Version (movie_app.py) Streamlit Web Version (movie_app_streamlit.py) 🧱 1. Project Overview The Movie Search App allows you to: Enter a movie title Fetch detailed movie information View poster, genre, plot, and rating Use either console or Streamlit web interface 📂 Project Structure movie_app/ │ ├── movie_app.py # Console version ├── movie_app_streamlit.py # Streamlit version └── README.md # (optional) 🌐 2. API Used: OMDb API 🖥️ 3. Console Version (movie_app.py) Key Features: Fetch movie data using requests Handles invalid titles gracefully Disp…  ( 7 min )

Most developers spend weeks or months building something, then rush through the launch in a single afternoon. They tweet about it, post on a few forums, and then wonder why nobody shows up. The product is solid, but everything around it is an afterthought. I've done this myself. I've also watched dozens of other developers make the same mistakes. Here's what gets forgotten most often. You launch. Something breaks. A user hits the bug, gets frustrated, and leaves. You have no idea this happened because there's no error tracking, no feedback widget, nothing. You find out three weeks later when someone finally emails you. Set up error monitoring before you launch. Sentry takes maybe 20 minutes to integrate and will save you from silent failures. But error tracking only catches crashes. It doe…  ( 8 min )

The best products I’ve shipped across WordPress, Shopify, Webflow and React had one consistent pattern: clarity always beats complexity. When you strip away unnecessary layers, everything moves faster. Teams iterate with confidence, bugs drop, and the product becomes easier to scale and maintain. Simplicity isn’t about limiting ideas it’s about creating a foundation where good engineering, clean architecture, and meaningful features can actually thrive.  ( 6 min )

The last decade has pushed e-commerce, retail, and manufacturing industries into an era of rapid transformation. Customer expectations have shifted dramatically, global supply chains have become more fragile, and the pressure for speed and accuracy has never been higher. As competition intensifies and operational costs rise, businesses are realizing that traditional fulfillment methods can no longer support the pace of modern demand. This is where the idea of a future-ready fulfillment system emerges — not just as a technical upgrade, but as a new operational philosophy. Being “future-ready” no longer means simply shipping orders faster. It means building a fulfillment structure that can absorb disruptions, scale instantly, operate with data-driven clarity, and remain stable in unpredictab…  ( 8 min )

TL;DR: I built a serverless AutoML platform that trains ML models for ~$10-25/month. Upload CSV, select target column, get a trained model. No ML expertise required. To deploy this project yourself, you'll need: AWS Account with admin access AWS CLI v2 configured (aws configure) Terraform >= 1.5 Docker installed and running Node.js 18+ and pnpm (for frontend) Python 3.11+ (for local development) ⏱️ Deployment time: ~15 minutes from clone to working platform AWS SageMaker Autopilot is powerful but expensive for prototyping. While training has a free tier (50 hours/month for 2 months), the real cost comes from real-time inference endpoints: a single ml.c5.xlarge endpoint costs ~$150/month running 24/7. I needed something simpler and cheaper for side projects. Goals: Upload CSV → Get trained …  ( 9 min )

I spent 12 hours fighting a local AI model to generate valid SQL queries. My success rate went from 40% to 100%, not by prompt engineering, but by teaching the model to learn from its own mistakes. TL;DR: • Self-correction loops beat perfect-first-time approaches for local AI Building a Retail Analytics Copilot that runs entirely on a laptop (using a quantized 24B model) sounds great for privacy, but it's a nightmare for reliability. Unlike GPTs, which follows instructions like a senior engineer, local models are like enthusiastic interns: they try hard, but they hallucinate syntax, forget schema details, and love to chat when they should be coding. My initial baseline was dismal: only 40% of generated SQL queries actually executed. The rest were plagued by syntax errors, hallucinated co…  ( 9 min )

🔍 Why Even Build Locally? 1️⃣ Expo Cloud Builds cost money Expo gives a small free quota. After that, you pay per build — which is fine for production, but not for rapid iteration or testing. Local builds = unlimited free builds. Android Studio is huge and unnecessary A full Android Studio install includes: IDE Emulators GUI tools Extras you don’t need for CI-style builds You only need the command-line SDK, build-tools, platform-tools, and NDK. My setup installs only what is required, trimming the install from 30 GB → ~3 GB. Full Setup Guide (WSL2 Ubuntu 24.04) ✔ Works for Expo, React Native CLI, EAS Build 1) Base Dependencies sudo apt update sudo apt install -y build-essential git unzip zip curl wget ca-certificates openjdk-17-jdk 2) Node 20.19.4 (matches Expo CI)…  ( 8 min )

Introduction In this tutorial, I'll walk you through how I built a semantic search engine using CocoIndex, an open-source Python library for creating powerful search experiences. If you've ever wanted to build a search feature that understands context and meaning (not just exact keyword matches), this post is for you! CocoIndex is a lightweight semantic search library that makes it easy to index and search through documents using vector embeddings. Unlike traditional keyword-based search, semantic search understands the meaning behind queries, allowing users to find relevant results even when they use different words. I needed a search solution that was: Easy to integrate - No complex setup or infrastructure required Fast - Quick indexing and search performance Semantic - Understanding c…  ( 8 min )

brkrs — a fun, playable brick-breaker game & learning playground brkrs is a real, playable Breakout/Arkanoid-style game written in Rust 🦀 using the Bevy engine. hands-on learning project, letting you explore: Spec-first development with GitHub speckit Incremental feature development through issues & PRs AI-assisted and agentic coding experiments Every feature starts as a spec, flows through an issue or PR, and ends as working Rust code. You can play the game, explore the code, and learn modern Rust/Bevy workflows all at the same time. Linus Torvalds said: “Talk is cheap. Show me the code.” brkrs lets you play, tinker, and see the specs come alive in a real game. I always wanted to rewrite my old Arkanoid/Breakout-style game, YaAC 🐧, in a modern game framework. I began by manually impl…  ( 7 min )

The modern platform for booking football pitches. Manage venues, track revenue, and book matches seamlessly. Live Demo: https://footbookr.vercel.app/ https://github.com/saidMounaim/footbookr Real-time Availability: Browse pitches and see live slot availability. Smart Booking: Filter by 5-a-side vs 7-a-side, date, and time. Digital Tickets: QR Code generation for seamless check-in at the venue. User Dashboard: Manage upcoming matches and view booking history. Social Login: One-click sign-in with Google or Email. Analytics Dashboard: Visual revenue charts, occupancy heatmaps, and KPI cards. Venue Management: Add or delete pitches with image uploads. Booking Control: View all reservations, cancel bookings, and manage schedules. User Management: View user stats and manage permissions. Framework: Next.js 16 (App Router, Server Components, Server Actions, Data Access Layer) Language: TypeScript Styling: Tailwind CSS Components: Shadcn UI (Radix UI) Database: PostgreSQL (via Prisma ORM) Authentication: BetterAuth Charts: Recharts / Shadcn Charts Icons: Lucide React Utilities: date-fns (Time), zod (Validation), react-hook-form (Forms)  ( 6 min )

Day 1 at AWS re:Invent 2025 kicked off with Matt Garman’s first keynote as CEO of AWS — and the message was unmistakable: This is the AI era, and AWS is building the full stack for it. Matt structured the entire keynote around four core areas: AI Infrastructure Inference Platform Your Data Tools to Build Agents And what I loved most: after each major section, AWS brought customers on stage to share real implementations — not just theory. Sony, Adobe, and Writer all walked through how they’re building on top of these new capabilities, grounding the announcements in reality. Here’s my full breakdown. 1. AI Infrastructure: The Foundation for What Comes Next Matt opened with a thoughtful shoutout to AWS Heroes, Community Builders, and User Group Leaders, calling them the builders shaping the…  ( 8 min )

-- Declare variables for schema UIDs (run once) DECLARE @uid1 int, @uid2 int SELECT @uid1 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_1' SELECT @uid2 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_2' -- Query: Tables only in US_1 SELECT 'ONLY_IN_US_1' AS location, t1.name AS table_name FROM sysobjects t1 LEFT JOIN sysobjects t2 ON t1.name = t2.name AND t2.uid = @uid2 AND t2.type = 'U' WHERE t1.uid = @uid1 AND t1.type = 'U' AND t2.id IS NULL UNION ALL -- Query: Tables only in US_2 SELECT 'ONLY_IN_US_2' AS location, t2.name AS table_name FROM sysobjects t2 LEFT JOIN sysobjects t1 ON t2.name = t1.name AND t1.uid = @uid1 AND t1.type = 'U' WHERE t2.uid = @uid2 AND t2.type = 'U' AND t1.id IS NULL ORDER BY 1, 2;  ( 6 min )

The Problem: I love Python for data analysis, but I hate writing matplotlib boilerplate just to see a simple trend. I also didn't want the overhead of a full React frontend for a simple dashboard. The Solution: I built Morph-AI-Era, a monolithic app using: FastAPI (Backend): Handles CSV parsing (Pandas) and AI Forecasting (Scikit-learn). Vanilla JS + Plotly (Frontend): Fetches JSON and renders charts instantly. Supabase: For Auth and Credits. How it works: User drags CSV. FastAPI cleans NaN values and detects date columns. Frontend renders interactive Scatter/Line charts via Plotly. Bonus: I added a "Viral PDF" generator using html2canvas. The Result: A dashboard that feels like a SPA but runs on a simple Python backend. It handles 100k+ rows in the browser without lag. Try it out: I’m looking for feedback on the forecasting logic. You can test it here (10 Free Credits for new accounts): https://www.morph-ai-era.online Let me know if you want to see the source code for the "Forecast" endpoint! python #fastapi #webdev #showdev  ( 6 min )

-- First get the user IDs once (optional, for readability) DECLARE @uid1 int, @uid2 int SELECT @uid1 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_1' SELECT @uid2 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_2' SELECT 'ONLY_IN_US_1' AS location, t1.tabname FROM sysobjects t1 LEFT JOIN sysobjects t2 ON t1.tabname = t2.tabname AND t2.uid = @uid2 AND t2.type = 'U' WHERE t1.uid = @uid1 AND t1.type = 'U' AND t2.id IS NULL UNION ALL SELECT 'ONLY_IN_US_2' AS location, t2.tabname FROM sysobjects t2 LEFT JOIN sysobjects t1 ON t2.tabname = t1.tabname AND t1.uid = @uid1 AND t1.type = 'U' WHERE t2.uid = @uid2 AND t2.type = 'U' AND t1.id IS NULL ORDER BY 1, 2  ( 6 min )

SELECT 'ONLY_IN_US_1' AS location, t1.table_name FROM dba_tables t1 LEFT JOIN dba_tables t2 ON t1.table_name = t2.table_name AND t2.owner = 'GLOBAL_COMET_US_2' WHERE t1.owner = 'GLOBAL_COMET_US_1' AND t2.table_name IS NULL UNION ALL SELECT 'ONLY_IN_US_2' AS location, t2.table_name FROM dba_tables t2 LEFT JOIN dba_tables t1 ON t2.table_name = t1.table_name AND t1.owner = 'GLOBAL_COMET_US_1' WHERE t2.owner = 'GLOBAL_COMET_US_2' AND t1.table_name IS NULL ORDER BY location, table_name;  ( 6 min )

Introduction Atomic Design is not just a design philosophy—it’s a way of thinking about components as living organisms that grow from simple building blocks into complex, interactive systems. The Five Levels of Atomic Design Atoms: The smallest building blocks—buttons, inputs, labels, colors, and typography. Molecules: Combinations of atoms that form functional units, like a search bar (input + button). Organisms: Larger sections of the interface, such as a navigation bar or product card grid. Templates: Page-level wireframes that define layout and structure without specific content. Pages: Realized templates filled with actual data and content, representing the final user-facing product. This hierarchy mirrors nature: atoms form molecules, molecules form organisms, and organisms create living systems. Why Atomic Design Matters in Frontend Scalability: Large projects remain manageable by breaking them into reusable parts. Consistency: UI elements behave uniformly across the application. Collaboration: Designers and developers share a common vocabulary. Efficiency: Reusable atoms and molecules accelerate development. Maintainability: Changes ripple predictably through the hierarchy. Example: React Project with Atomic Design Structure Atoms: Button, Input, Typography Molecules: SearchBar, ProductCard Organisms: Header, Footer, ProductGrid Templates: HomeTemplate, ProductTemplate Pages: Actual routes like / and /product/[id] This structure ensures that every piece of UI is reusable, testable, and easy to maintain. For example, if you redesign the Button atom, the change propagates across all molecules and organisms that use it. Conclusion Atomic Design is more than a methodology—it’s a philosophy of growth, reminding us that even the most complex systems begin with the smallest building blocks.  ( 7 min )

SELECT CASE WHEN t1.table_name IS NOT NULL AND t2.table_name IS NULL THEN 'ONLY_IN_US_1' WHEN t2.table_name IS NOT NULL AND t1.table_name IS NULL THEN 'ONLY_IN_US_2' END AS location, COALESCE(t1.table_name, t2.table_name) AS table_name FROM dba_tables t1 FULL OUTER JOIN dba_tables t2 ON t1.table_name = t2.table_name AND t1.owner = 'GLOBAL_COMET_US_1' AND t2.owner = 'GLOBAL_COMET_US_2' WHERE (t1.owner = 'GLOBAL_COMET_US_1' OR t1.owner IS NULL) AND (t2.owner = 'GLOBAL_COMET_US_2' OR t2.owner IS NULL) AND ( (t1.table_name IS NOT NULL AND t2.table_name IS NULL) OR (t2.table_name IS NOT NULL AND t1.table_name IS NULL) ) ORDER BY location, table_name;  ( 6 min )

Segurança em Smart Contracts (2025): A Evolução dos Ataques e a Nova Fronteira da Defesa Adriano P. Araujo ・ Dec 2  ( 6 min )

How Semantic Search Finds Products That Keywords Miss I've been building this product search engine for Barbados called "Yuh Gettin' Tru?" (Bajan for "Are you finding what you need?"), and I wanted to share something that perfectly illustrates why semantic search matters. I was testing the site against a local home store called Dwellings. They sell all sorts of home goods - furniture, kitchenware, decor. I searched for "hardwood cutting board" on their website and got... nothing. Zero results. Now, here's the thing. They absolutely do sell hardwood cutting boards. They have these lovely acacia wood boards with handles. But their product database doesn't call them "hardwood cutting boards" - it calls them "Acacia Cutting Board with Handle". Traditional keyword search sees "hardwood" and …  ( 8 min )

TL;DR: After years of wrestling with recursive CTEs, junction tables, and the existential dread of N+1 queries, I built a graph-native Backend-as-a-Service called FLXBL. To prove it actually works (and isn't just vaporware from a sleep-deprived developer), I built a mock movie discovery platform that finds the shortest path between any two actors. Here's what I learned—and why you might want to ditch your relational database for relationship-heavy applications. Have you ever played the Six Degrees of Kevin Bacon game? The premise is beautifully simple: any actor in Hollywood can be connected to Kevin Bacon through their film appearances in six steps or fewer. Tom Hanks was in Apollo 13 with Kevin Bacon—that's one degree. Meryl Streep was in The River Wild with Kevin Bacon—also one degree.…  ( 15 min )

In the 1990s, developers wrote long functional specifications before coding. By 2010, agile replaced the idea that you should define everything upfront. Today, as AI coding struggle with quality, the old playbook is returning: writing detailed specs in hopes of getting reliable outcomes. On paper, spec-driven development (SDD) feels like the perfect solution: write a detailed spec first, then let the model generate “correct” code from it. But reality hits hard. Just like the pattern we have seen before: when we try to “solve unpredictability” by writing more things down upfront, the development fails, and always for the same reason — Reality changes faster than specs do. What Is Spec-Driven Development? Spec-driven development (SDD) is the practice of writing detailed upfront specifica…  ( 9 min )

Galactic Genesis: Can Neural Nets Unravel the Secrets of Galaxy Formation? Imagine trying to model the Earth's climate, but you only have the computing power to simulate individual raindrops. That's the challenge astrophysicists face when trying to simulate how galaxies form, a problem rife with vast differences in scales. Current models often rely on educated guesses for the behavior of supermassive black holes, the engines driving galactic evolution, leading to inaccuracies and missed nuances. But what if we could train an AI to "fill in the gaps"? Enter neural operators, a cutting-edge machine learning technique designed to learn and approximate complex mathematical functions. Instead of crunching every single interaction, a neural operator learns the underlying physics of a system at…  ( 7 min )

Aren't sure what sets agentic ai apart from large language models? Find out how they differ -see where one follows commands whie the other takes initiative. One handles step by step jobs withou help, whereas the other boosts output by generating text fast. Real examples show one planning actions like a helper; meanwhile the other aids workers by drafting messages or reports instantly Image: An LLM - As a simple chatbot handling users query and below An Advanced Agentic AI system independtly executing different tasks ( posting on social media pages, drafting and responding to email messages). I. Introduction We are seeing a key change in artificial intelligence- now its not just about understanding or creating words, but actually doing tasks on its own. Whats driving this ? its comea down…  ( 12 min )

O mercado de TI passou por transformações profundas nos últimos anos. Uma das mais evidentes é a dificuldade crescente que profissionais em início de carreira têm enfrentado para conseguir sua primeira oportunidade. Isso não acontece de forma isolada; existe um conjunto de fatores que explica por que as empresas estão mais resistentes em contratar e desenvolver novos talentos. A permanência nas empresas mudou Durante muito tempo era comum que pessoas construíssem grande parte da sua trajetória profissional em um único lugar. Hoje, essa realidade mudou completamente. Profissionais permanecem cada vez menos tempo em uma empresa; existe uma tendência dos profissionais buscarem uma nova oportunidade em até três anos; entre os mais jovens esse período costuma não chegar a um ano. Para as empr…  ( 9 min )

Abstract Choosing the right test management tool can make or break your QA process. This comprehensive analysis examines TestRail (the leading commercial solution) and TestLink (the veteran open-source alternative) through empirical testing, focusing on Developer Experience (DX), API Performance, Total Cost of Ownership (TCO), and real-world integration scenarios. Spoiler alert: TestLink's performance deficiencies and integration complexity often negate the benefit of its "free" license for most modern development teams. Introduction The Test Management Landscape API Performance Analysis Developer Experience Comparison Total Cost of Ownership Feature-by-Feature Comparison Real-World CI/CD Integration When to Choose Each Tool Conclusions In the world of software quality assurance, test ma…  ( 12 min )

Over the last few months I kept seeing the same problem. Teams want to move from React to Next.js but the migration is repetitive, messy, and full of hidden patterns. So I built a feature rich converter that automates most of the work: reacttonext.com. The tool handles routing changes, Link conversions, file restructuring, SSR-safe patterns, dynamic imports, and a lot of the tricky edge cases that usually show up late in a migration. I trained it on 1500 publicly available React codebases and used those patterns to build the rule engine behind it. The converter completes around 80–90 percent of the migration automatically. After that it generates a README.md containing all the remaining manual review steps. You can follow them yourself or feed the README to an LLM, since the instructions are already written in a way that an LLM can process correctly. If you want to try it or break it, here you go: https://reacttonext.com I am looking for feedback, edge cases, and real-world projects that can push its limits.  ( 6 min )

Oracle APEX (Rest Integration Code Snippets) Rajesh Vohra ・ Dec 2 #restapi #oracle #cloud #programming  ( 6 min )

(A) Calling a REST API From APEX Using APEX_WEB_SERVICE https://api.example.com/process'; https://objectstorage..oraclecloud.com/n/namespace/b/bucket/o/myfile.pdf'; Automated PDF Extraction & Classification Image Recognition Inside APEX Generate PDFs Automatically LLM-Powered Chat Assistant Inside APEX Smart Ticket Categorization Real-Time Operational Dashboard Executive KPI Dashboards Audit & Security Dashboard  ( 7 min )

The Problem Legacy code is everywhere. Companies have millions of lines of COBOL running critical systems, PHP 5 powering old websites, and Flash ActionScript in archived projects. Modernizing this code manually is tedious, error-prone, and expensive. What if AI could do it automatically? AI Necromancer is a web app that "resurrects" dead code using a multi-agent AI system: The Archaeologist analyzes legacy code to detect language, purpose, and issues The entire application - 40+ files, full-stack React and Express, OpenAI integration, batch processing, error handling, and comprehensive documentation - was built in one session with Kiro AI. Here's how: I treated Kiro like a pair programming partner. Instead of writing detailed specs upfront, I'd say things like "add ZIP file extraction" …  ( 7 min )

In the process of migrating data from MySQL (including MySQL-compatible databases such as Amazon Aurora) to VeloDB, Flink can be used as a real-time data synchronization engine to ensure data consistency and real-timeliness. Flink boasts high-throughput and low-latency stream processing capabilities, enabling efficient full data synchronization and incremental change handling for databases. For real-time synchronization scenarios, MySQL Binlog can be enabled to capture CDC (Change Data Capture) events. Whether it is a traditional self-hosted MySQL or Amazon Aurora-MySQL deployed on the cloud, you can enable Binlog and use Flink CDC for subscription to achieve: Full data initial load: Import existing data from MySQL/Aurora to VeloDB first Real-time synchronization of incremental changes: …  ( 8 min )

Unlocking Easter Creativity with xTool: Projects, FAQs, and Weekly Insights for Digital Marketers As the vibrant hues of spring emerge, so too does the spirit of Easter, inspiring countless creative projects. For enthusiasts and entrepreneurs alike, xTool devices have become indispensable tools, transforming intricate ideas into tangible masterpieces. This article delves into the exciting world of Easter crafting with xTool, provides crucial answers to common user questions and technical challenges, and keeps you informed about the essential weekly updates that keep the xTool ecosystem thriving. Whether you're a seasoned crafter aiming for intricate designs or a small business owner looking to expand your product line, leveraging tools like xTool can significantly enhance your creative out…  ( 9 min )

A new state architecture for AI reasoning — topic-aware, model-adaptive, and time-pattern structured Introduction Most developers know the experience: you begin a serious AI conversation, start building a document or a technical concept, and the moment you modify one small part, the entire model rewrites everything. You scroll endlessly, context collapses, structure disappears, and the conversation becomes noise instead of clarity. Modern AI models are powerful, but the default chat interface is structurally wrong for complex work. What is needed is not more tokens, but a way to introduce state, structure, and reasoning flow into the interaction. This article introduces the Ping Engine: a new reasoning architecture built on two components: AFST v0.1: Adaptive Focus State Te…  ( 9 min )

In this series, I'll share my progress with the 2025 version of Advent of Code. Check the first post for a short intro to this series. You can also follow my progress on GitHub. The puzzle of day 2 was not that hard. I feared my simplistic solution for part one would not cut it for part two, but it was actually pretty easy to create a new isInvalidId function for part two, and retrofit that to part one 😅 My pitfall for this puzzle: Had to look a couple of C++ tips & tricks, but nothing major. #include #include #include #include void extractRange(const std::string &range, std::vector &result) { const auto from = std::stol(range.substr(0, range.find('-'))); const auto to = std::stol(range.substr(range.find('-') + 1)); for (…  ( 7 min )

Over the past month, I introduced a new observability layer inside my library forge-sql-orm. measurable and transparent — without breaking Runs on Atlassian compliance and without accessing any customer data. As part of my Codegeist project, I integrated this layer into a real Forge app and connected it to PostHog. Forge SQL is multitenant — the physical database is shared across many customers, and each tenant gets its own logical slice of data. In practice, this creates two major challenges: 1. Tenants can have radically different dataset sizes A resolver that runs in 50–100 ms for one customer may take hundreds of milliseconds, or even seconds, for another. And you have no way to know this ahead of time: you cannot see the tenant’s actual table sizes you cannot log into the underlying…  ( 12 min )

BJH OS is a browser-based operating system developed using pure HTML, CSS, and JavaScript — no frameworks, no backend dependencies ⚙️🚫. It’s designed to give you real desktop OS, but in your web browser 🖥️✨ 🖼️ Custom Desktop Environment Draggable, resizable windows with a familiar desktop layout. Apps now open inside movable, desktop-style windows with titlebars and close buttons. Windows can be maximized or restored by double-clicking the titlebar. 🖱️ Smoother UI & Window Management Enhanced shadows, borders, and polished drag interactions give a modern desktop feel. Double-click the titlebar to maximize/restore windows, and enjoy smoother dragging and window interactions. 📦 Built-in Apps Includes File Manager, Notes, Chat App (ChatLink), Settings, and more. Start menu & toolbar …  ( 8 min )

Hey Developers 👋 for years, Create React App (CRA) was the go-to tool for setting up React projects quickly. However, as of Feb 2025, CRA is officially sunset. The React team no longer recommends using it due to slow build times, outdated configurations, and lack of support for modern features like ES modules and native ESM-compatible dependencies. If you are still using CRA, it’s time to migrate. I have worked with a lot of teams, and in my opinion if you have a SPA application that doesn’t need the latest nuts and bolts like React Server Components, then Vite is the best option. Vite a fast, modern build tool that offers instant hot module replacement (HMR), optimized builds, and better DX (Developer Experience). It aims to provide a faster and leaner development experience for modern w…  ( 9 min )

Disclaimer: This guide is for informational and educational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. Artificial intelligence (AI) is revolutionizing healthcare, but how do you take a powerful, general-purpose AI model and teach it the specialized skills of a pathologist? This journey from prototype to production often begins in a notebook, which is exactly where we'll start. In this guide, we'll take the crucial first step. We'll walk through the complete process of fine-tuning the Gemma 3 variant MedGemma. MedGemma is Google's family of open models for the medical community, to classify breast cancer histopathology images. We're using the full precision MedGemma model because that's what you'll need in order to get maximum performance…  ( 33 min )

It's 2 AM. PagerDuty fires. Something's wrong with the payment service. You open Log Explorer and stare at the query bar. Is it service:payment or @service:payment? Does negation use NOT or -? What's the facet for authentication failures again? The logs have the answer. The syntax is the bottleneck. If you have been here, this post is for you. I will walk through how to build a tool that translates plain English into valid Log Search queries, and more importantly, I will break down the Datadog-specific gotchas that make this problem interesting. Before building anything, it helps to know exactly where Log Search syntax trips people up. These are the patterns I see most often. @ Prefix Rule This causes more confusion than anything else. The rule is simple, but easy to forget: Reserved att…  ( 9 min )

RE_VAULT: My growing archive of reverse engineering challenges When I first got into reverse engineering, I kept running into the same problem. Either the binaries were so trivial that you could finish them in five minutes, or they were full blown malware samples that assumed you already knew what you were doing. There was not much in the middle that felt like a structured way to get better. So I started building my own targets. This repository is where I am collecting them. GitHub: https://github.com/0x57Origin/RE_VAULT/tree/main Contact for solutions: 0x57Origin@proton.me RE_VAULT is my public archive of reverse engineering projects and challenge binaries. Right now the main thing inside it is a project called: Flag Hunt 2 - Black Cipher Edition It is a C program that behaves like a h…  ( 11 min )

Most frontend projects rely heavily on REST APIs. We fetch data, handle the loading state, and display lists. While this is an essential skill, it ignores a large part of what the browser can do. I recently saw a tweet about using native Browser APIs to build more interesting projects. I wanted to try this myself, but I found it difficult to find good project ideas. Most documentation provides syntax examples but rarely explains what you can actually build with them. I created a site to solve this. It serves as a collection of browser APIs, resources, and specific project ideas for each one. You can view it here For each API, I included the MDN documentation, a couple of resources and a few project ideas. This will be updated as I find more project ideas. Focusing on these APIs requires a different approach than standard data fetching. You have to manage permissions, handle real-time events, and interact with device hardware. Asides from it being fun, it is a practical way to understand the web better. I am using this list to guide my own learning. I plan to update it as I discover more APIs and use cases. If you are looking for a new project to build, you can check out the full list here.  ( 6 min )

Agentic Software Engineering (ASE): The Software Development Landscape is Shifting Again These days, we often hear stories like "Successful CI/CD Automation with a Coding Agent" or "An MVP for a side project completed in just a few days." It’s becoming clear that AI agents are moving beyond being mere assistants and are diving deep into the actual development workflow. Industry buzzwords like AI-driven development, AI-DLC (AI-driven Development Life Cycle), and Agentic Software Engineering (SE 3.0) are already rampant. I want to consolidate this rapidly evolving trend from the perspective of a working developer and call it "Agentic Software Engineering (ASE)." ASE is far more than simple code generation. It signifies a new software development framework where the agent understands and ac…  ( 10 min )

तुलसी - एक औषधीय पौधा परिचय तुलसी भारतीय संस्कृति में एक पवित्र और महत्वपूर्ण औषधीय पौधा है। इसे "जड़ी-बूटियों की रानी" के नाम से भी जाना जाता है। तुलसी का वैज्ञानिक नाम Ocimum sanctum या Ocimum tenuiflorum है। यह पौधा लामियासी (Lamiaceae) परिवार से संबंधित है। भारत में तुलसी को धार्मिक और आयुर्वेदिक दृष्टि से अत्यंत महत्वपूर्ण माना जाता है। प्रत्येक हिंदू घर में तुलसी का पौधा लगाना शुभ माना जाता है। भारत में मुख्य रूप से तीन प्रकार की तुलसी पाई जाती है: राम तुलसी: इसकी पत्तियां हरे रंग की होती हैं और यह सबसे सामान्य प्रकार है। इसकी सुगंध मीठी और हल्की होती है। श्याम तुलसी (कृष्ण तुलसी): इसकी पत्तियां बैंगनी या गहरे हरे रंग की होती हैं। यह औषधीय गुणों में अधिक प्रभावी मानी जाती है। वन तुलसी: यह जंगली किस्म है जो प्राकृतिक रूप से उगती है। इसके पत्ते बड़े और खुरदरे होते हैं। तुल…  ( 9 min )

Crypto payments feel simple for users: scan a QR code, send funds, wait for confirmations. For developers, that flow hides a bunch of responsibilities you normally get “for free” with card processors: invoice tracking, fraud/risk rules, payment status updates, retries, and reconciliation. A crypto payment gateway is the system that fills that gap. A crypto payment gateway is a service (or internal component) that connects an off-chain business event—like an order or invoice—to an on-chain crypto transaction, then tells your backend when it’s safe to deliver the product. Think of it as the crypto equivalent of payment plumbing: not the blockchain itself, but the layer that makes payments usable in real apps. Popular, widely used gateways include Coinbase Commerce, RBTex, BitPay CoinGate, NO…  ( 8 min )

В данной статье мы рассмотрим несколько способов установки собственного VPN, а начнем с самого простого и доступного каждому. Для настройки личного VPN прежде всего необходимо иметь виртуальный сервер, он же VPS или VDS. Переходим на сайт VDSina (или регистрируемся здесь) и заказываем сервер с 1 процессорным ядром и 2Gb памяти. В заказе выбираем операционную систему Ubuntu 24.04 или Debian 12, и отключаем ненужную платную резервную копию: Оформив и оплатив заказ, нам сразу будут выданы данные доступа к серверу – его IP-адрес и пароль пользователя root. Теперь, когда у нас есть собственный сервер, можно переходить к непосредственной настройке VPN одним из трех способов. ㅤ Способ 1. Самый простой, с помощью Amnezia Устанавливаем на компьютер или телефон программу Amnezia VPN, за…  ( 8 min )

When Anthropic announced its acquisition of Bun, it wasn’t just a corporate move — it was a clear message: AI-native software engineering is no longer an experiment. It’s the new standard. Claude Code, Anthropic’s agentic coding system, hit $1B run-rate revenue in only six months. That type of growth has never happened in the developer tools space before. And behind that meteoric acceleration? A surprising catalyst: Bun, the JavaScript runtime created by Jarred Sumner. Today’s acquisition formalizes a relationship that has quietly shaped the fastest-growing AI coding product in history. Why Bun Matters So Much in the AI Era Bun has always been outrageous. Outrageously fast, outrageously integrated, outrageously ambitious. 7M+ monthly downloads 82k+ GitHub stars Adopted by Midjourney, Lov…  ( 8 min )

When building modern web applications, managing relationships between data entities is a common challenge. But what happens when those relationships form a dependency graph, and you need to process items in the correct order? That's exactly the problem I tackled in my latest project: a FastAPI backend that combines traditional CRUD operations with intelligent dependency ordering using topological sorting. Most CRUD APIs are straightforward—create, read, update, and delete resources. But in many real-world scenarios, resources depend on each other. Think about: Build systems where modules depend on other modules Task management where tasks have prerequisites Package managers where libraries depend on other libraries Workflow engines where steps must execute in order The challenge isn't just…  ( 9 min )

Every time I started a new SaaS project, I found myself rebuilding the same infrastructure: Payment integration Invoice generation Multi-language support Analytics Admin dashboard After the third time, I decided to extract this foundation into a reusable starter. Today, I'm open-sourcing it. GitHub: martinschenk/saas-starter-stack Live Demo: allgood.click ## What's Included ### 1. Stripe Payments Complete Stripe Checkout integration with: One-time payments and subscriptions Mobile-optimized checkout (auto-detects device) EU tax handling Webhook processing with signature verification ### 2. Automatic Invoicing Zoho Invoice API integration that: Creates professional PDF invoices on payment Sends them automatically to customers Supports B2B with company name and VAT ID ### 3. Multi-Language Support (5 Languages) English, German, Spanish, French, Portuguese SEO-friendly URLs (/de/, /es/, /fr/, /pt/) Browser language auto-detection ### 4. GDPR-Compliant Analytics (No Cookies!) No cookie consent banners needed IP anonymization (last octet removed) Admin dashboard with charts Auto-deletes after 90 days ## Tech Stack Express.js - Simple, no magic SQLite - Zero config, file-based backup Vanilla JS - No build step, ~50KB frontend ## Getting Started git clone https://github.com/martinschenk/saas-starter-stack.git Visit http://localhost:3000 and you have a working SaaS. ## Links GitHub: martinschenk/saas-starter-stack Live Demo: allgood.click License: MIT If this helps you ship faster, that's a win. Star the repo if you find it useful! Have questions? Drop them in the comments!  ( 6 min )

It was an honor to join Matt Stauffer on the The Business of Laravel podcast to talk about my journey: from building a startup on Laravel, to selling it, and now launching Ghostable — a zero-knowledge environment-management platform for teams that scale. If you want the full conversation, check out the episode. Here’s a written recap of what I shared, how Laravel shaped my path, and why env/secrets management matters more than most devs realize. My co-founder and I go way back — kindergarten friends, turned co-founders. Our first “company” was literally a skateboard deck brand we made in high school: hand-painted boards, a rudimentary website, and a DIY hustle. That early taste of branding, marketing, and web dev stuck. Years later, when he pitched me a security-training idea (now known…  ( 8 min )

Modern PHP applications rely on many external components: APIs, databases, file systems, random generators, time providers, and services that communicate with the outside world. This is where test doubles come into play. A test double is any stand-in object that replaces a real dependency during testing. PHP offers many ways to create these objects — manually, through libraries like Mockery, or through PHPUnit’s built-in mocking tools. In this article, you’ll learn: What mocks, stubs, spies, and fakes really are How they differ and when to use each How to build them in pure PHP How to test code that depends on external services Common mistakes developers make when mocking Simple examples you can run directly in onlinephp.io Let’s begin with the basics. There are different categories of tes…  ( 10 min )

Over the past year, I’ve been slowly moving many of the little repetitive tasks in my engineering workflow over to local LLMs. These are the tiny chores that show up dozens of times a day and quietly wear you down. Automating them away has been a real blessing. If you’re a software engineer who wants to eliminate the tedious parts and move faster, then I hope sharing some of my scripts inspires you to streamline your own workflow as well. The core of my setup is Ollama. It runs several code focused local models. You do need a little power under the hood machine to run some of these higher param models. On my M4 Mac these models have been fantastic: qwen2.5-coder:7b runs extremely fast and is more than enough for most tasks qwen2.5-coder:14b a bit slower, but best overall reasoning and cod…  ( 9 min )

"Oh man, how do these guys who are younger than me beating me at my own game?" I have been feeling this way many times of my decade long career. When I was in my formative years, I always blindly thought those and I took them as truth without thinking. And me being in my own shell made it worse. It was my third year and my manager asked me "Where do you think you rank in this appraisal cycle?". I said without any thinking "I will be within top 3" and the competition is fierce and there are 10-15 people for that appraisal cycle. My Manager smiled and I thought myself that "Who am I kidding? top 3! what a joke. He must me laughing that I am this deluded". I never asked him what he thought afterwards. But ever since he asked me that whatever work I am associated with my Manager, that thought …  ( 10 min )

Developer activity in crypto continues to rise. Although users still search for where to buy Bitcoin or check Dogecoin price charts, developers focus on networks that offer predictable performance, strong tooling, and stable infrastructure. Many consumers begin their crypto experience through platforms like MoonPay, but developers take the next step by building applications that push blockchains to their limits. This roundup covers the top networks developers are using for serious production workloads. 1. Ethereum and Its Rollups The largest developer ecosystem remains productive due to mature tools, libraries, and L2 networks that reduce costs. 2. Solana Solana offers high throughput and fast finality. Developers building consumer apps, DEXs, and real-time systems appreciate its performance profile. 3. Polygon zkEVM Polygon’s zkEVM merges the benefits of Ethereum compatibility with low fees and fast settlement. 4. Near Protocol Near’s account abstraction and easy onboarding help developers attract non-technical users. Its architecture supports scalable consumer apps. 5. Avalanche Avalanche’s subnet architecture allows developers to create custom chains tailored to specific performance or compliance needs. 6. Cosmos SDK Cosmos enables developers to build application-specific blockchains. IBC ensures seamless communication between chains. 7. Aptos Move’s resource-based programming model appeals to developers seeking safer contract execution. Aptos provides high-speed settlement for complex applications. 8. Toncoin (TON) TON’s integration with Telegram gives developers the ability to serve hundreds of millions of users instantly. Mini app development continues to grow. Conclusion Developers in 2025 are shaping the next evolution of blockchain. While consumer interest focuses on trends like buying crypto or tracking Dogecoin price movements, the real progress comes from builders who are choosing networks that support high-performance, scalable applications.  ( 7 min )

Community Health Workers (CHWs) generate a huge amount of visit-level data: every household visit, assessment, and follow-up. On its own, this raw data is hard to use. Our CHW Monthly Activity Aggregation project turns those raw records into a clean monthly summary that's ready for dashboards and performance reviews. At a high level, this project is a dbt (data build tool) project that reads a fact table of CHW activities and produces a single, analytics-ready table: public.chw_activity_monthly, with one row per CHW per reporting month. Today's challenge: Managers often get raw logs (“John visited household 123 at 10:15”) instead of understandable summaries (“John visited 28 households in March, with 6 pregnancy visits”). Our solution: We automatically group all visits into monthly summa…  ( 9 min )

The Initial Use of Resources Imagine you have a one-acre plot of land in your village or hometown. You decide to build your dream house on this land, constructing a home for you and your family. You use the entire one acre of land to live comfortably. You have access to water, a garden, a park, and other resources, and you’re happily living in this space. After some time, you realize that even though you’re enjoying the one-acre property, you’re only using half of the land. The other half remains unused, meaning much of the land and its resources are going to waste. You then start thinking of ways to use the extra land more efficiently. Instead of letting that unused half-acre go to waste, you decide to build another property on it. You keep living in your original home with your family…  ( 9 min )

Submitted for Kiroween Hackathon 2024 - Skeleton Crew Category As a junior apps developer, I'd never built a RAG (Retrieval Augmented Generation) system before. The concept seemed intimidating: vector embeddings, semantic search, chunking strategies—all foreign territory. But the Kiroween hackathon's "Skeleton Crew" category sparked an idea: what if I could build ONE reusable skeleton that transforms into ANY AI personality? Seven days later, I had Project Corpus: a production-ready RAG chatbot that can become a professional legal assistant, a mystical spirit, or anything else—just by swapping a config file. 🔗 Live Demo | GitHub Repo Project Corpus is a document chat application with a twist: the same core logic powers radically different AI personalities. ⚖️ Legal Eagle Professional leg…  ( 10 min )

Terraform gets much easier to use once you understand its meta arguments. These arguments help you decide how many resources to create, how they should be linked, and how Terraform keeps track of them. In this article, we will break down the three most commonly used meta arguments: count, for_each, and depends_on. These are important to know if you're building AWS infrastructure with Terraform, especially when creating multiple resources or managing their order. count allows you to create multiple instances of the same resource using a simple number. It is the most straightforward way to scale resource creation. Example resource "aws_s3_bucket" "bucket_example" { count = 3 bucket = "my-bucket-${count.index}" } How it works count = 3creates three buckets. Each resource gets an index: …  ( 7 min )

TL;DR CinemaSins just dropped a new “Everything Wrong With Superman (2025) In 17 Minutes Or Less” video, where they hilariously roast the latest Man of Steel flick by pointing out every nitpick, plot hole and overused trope in true CinemaSins fashion. For more sinful takes and bonus content, hit up cinemasins.com or their Linktree for all the YouTube channels (TVSins, CommercialSins, CinemaSins Podcast Network), join the Discord/Reddit communities, fill out their poll, or support the team on Patreon. Big ups to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel! Watch on YouTube  ( 6 min )

Self-healing systems are basically computer systems that can fix themselves automatically when something goes wrong. Instead of waiting for a human to notice a problem and manually fix it ("reactive firefighting"), these systems are designed to be proactive. They are constantly watching (Continuous Monitoring) themselves to catch tiny signs of trouble or "degradation" (a slight performance drop or early error). When they find an issue, they automatically take steps to correct it (Automatic Correction). This might mean restarting a faulty component, rolling back a bad update, or isolating a sick part of the system. Why Self-Healing Is Important? Prevents outages before users feel them. Systems detect degradation (latency, memory spikes, failed health checks) and fix themselves before custo…  ( 7 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* In 1979, Singapore’s Prime Minister Lee Kuan Yew spoke about the importance of clear, simple written English in government. Decades later, his message applies perfectly to today’s technology and software world. Our industry builds complex systems distributed services, microservices, machine learning pipelines, cloud infrastructure, scaling architecture. But while the technology has evolved exponentially, the quality of communication often has not. We’ve all seen it: PRDs and RFCs filled with jargon that nobody understands Engineeri…  ( 8 min )

Hey Everyone I used to do coding from 2013-2018 after that explore the new opportunities started my start ups but got failed and I am againg starting programmer Journey. The tech stack which I have choosen is React,Express,Mongo & Node. If there are any suggestions please comment.  ( 6 min )

Model Context Protocol (MCP) has been wobbling on its own legs for a while now, which articulated a frustration many of us in the agentic space have felt but hadn't quantified: LLMs are exceptional code generators, but terrible state machines. The industry standard for agents is the ReAct pattern (Reason + Act), which essentially turns your LLM into a pseudo-runtime. The model decides on a tool, calls for the API, waits for the network response, parses the JSON result, and repeats. But here's the catch: this approach isn't exactly efficient with today's LLMs. You're basically asking a probabilistic engine to handle deterministic control flow, which is like using a neural network to do basic arithmetic. The result? Hallucinations, context window gets polluted fast, and state management bec…  ( 12 min )

Welcome to this week's Top 7, where the DEV editorial team handpicks their favorite posts from the previous week. Congrats to all the authors that made it onto the list 👏 Is the Java ecosystem cursed? A dependency analysis perspective Tony Robalik ・ Nov 24 #java #kotlin #gradle @autonomousapps dives deep into the complexities and frustrations of dependency management within the Java and Kotlin ecosystems. The article highlights specific pain points like inconsistent metadata and "fat" jars that can turn build processes into a nightmare for maintainers. How I Used Claude Code to Speed Up My Shell Startup by 95% Nick Taylor ・ Nov 27 #ai #zsh #bash #productivity @nickytonline details how he used an AI coding assistant to identify and reso…  ( 7 min )

Most of us know that Rust can target almost anything - from microcontrollers to desktop apps, servers, and even browser-based applications. But are these practical use cases, or just proofs of concept that we wouldn't apply in practice? I decided to find out. 👉 Let me share my project with you: an on-desk watch combined with a meteo station. World Time (automatic timezone detection + NTP synchronization) Weather Forecast (two-day forecast for the current location) Current Weather (live data from nearby meteo stations) Fully configurable through an embedded web UI Embedded: Multi-threaded app built with ESP-IDF, running on ESP32-S3 (Xtensa) Frontend: Two Leptos apps compiled to WASM, client-side rendered Backend: Two serverless functions built with Spin SDK, deployed to Fermyon Cloud Simulator: Built with help of ratatui, runs in the terminal on x86 Scripting: Helper tool using rust-script crate retro-clock weather-data-aggregator  ( 6 min )

Introduction In today's business landscape, financial control over cloud usage has turned into a defining factor for sustainable growth. Yet many companies still have to deal with unpredictable cloud bills, limited cost visibility, and slowed financial insights that needlessly complicate budgeting and decision-making. These issues often quietly rise to operational strain, reducing the overall value of the cloud. This is where FinOps SaaS comes into play, providing structure, intelligence, and real-time transparency that enables enterprises to take control over their cloud spend once again. Key Roles of FinOps SaaS That Strengthen Cloud Financial Control Inefficient cloud cost management can lead to overspending and reduced financial clarity. The points given below highlight how busine…  ( 9 min )

Fintech APIs are tricky; payments, KYC, wallets, ledgers, refunds, transaction verification...everything needs to work perfectly. Even the smallest bug can break a customer payment or cause a compliance issue. This is why proper API testing matters more in fintech than anywhere else. In this guide, I’ll show you exactly how to test your fintech APIs on KushoAI. We’ll upload your API, set up environments, handle auth, run tests, and even build complete end-to-end payment flows. Fintech systems rely on tightly connected API chains. A single customer action, such as onboarding or making a payment, triggers multiple backend services that interact in sequence. A standard fintech workflow looks like this: Customer Onboarding: Capture user details. Trigger the KYC process. Receive verification c…  ( 9 min )

Subtitle: OAuth 2.0, JWT, Asymmetric Encryption, Zero-Trust, Hardening Headers, API Gateway, & Load Balancers. Most developers think security ends at: Login → JWT → Authenticated ❌ But enterprise-grade systems demand multi-layer security + zero-trust enforcement. 🛡️ Here is a practical, production-ready guide to hardening your Java architecture. OAuth 2.0 is authorization, not authentication. Your backend must treat every request as hostile. 📌 Core Flow: Client → API Gateway → Authorization Server → Resource Server 🧠 Zero-Trust Rules: ✔ Always verify WHO the user is. ✔ Always verify WHAT they can access. ✔ No implicit trust — even inside your VPC. ✔ Tokens should always be short-lived. 🔑 2. JWT — Use Asymmetric Keys (RS256) HS256 = Risky shared secret ❌ RS256…  ( 8 min )

Welcome back to Day 2 of the 60-Day Spark Mastery Series. Today, we dive into the core of Spark’s execution engine - an essential concept for every Data Engineer who wants to write efficient and scalable ETL pipelines. Let’s break down Spark architecture in a way that is simple, visual, and interview-friendly. 🧠 Why Learn Spark Architecture? If you understand how Spark works internally, you can: Write faster pipelines Debug errors quickly Reduce shuffle Tune cluster performance ⚙️ Spark Architecture (High-Level) Spark has 3 major components: Driver Program : This is the "brain" of your Spark application. The driver: Creates SparkSession Builds logical plan (DAG) Converts transformations into stages/tasks Manages metadata Talks to cluster manager If the driver crashes → the entire applicat…  ( 7 min )

Build a flexible phone input that supports both a country selector and input-only mode. Validate, format, and auto-detect international phone numbers using real-world logic from libphonenumber-js. A perfect intermediate challenge to sharpen your skills in controlled inputs, form validation, and React state management. 💡 Ready to test your React skills? Jump in now! 👉 Try it here: www.reactchallenges.com/challenges/38  ( 6 min )

Today marks the Day 9 of 30 Days of Terraform challenge and in this blog, we will deep dive into the Terraform Life Cycle Rules. Life Cycle in terraform is one of the important meta-arguments that is needed to improve the Infrastructure mangeability and to Operationalize it. Terraform Lifecycle rules are something that controls how a resource is created, modified or deleted. These are used to improve Security, Accidental deletion or modification of resources. There are a total of 5 lifecycle rules defined such as Ignore_changes, craete_before detsroy, prevent_destroy, replace_triggered_by, pre_and_post_validation If we keep this Ignore changes lifecycle rule on any resource, then the Terraform will ignore the changes that were done outside of Terraform and will not perform any changes on …  ( 9 min )

A post by Elvin Seyidov  ( 6 min )

💡 What is Ansible? Ansible is a powerful automation tool used for: ✔ Server configuration It works over SSH, requires no agent, and uses YAML playbooks to automate tasks. In this guide, you will learn: How to install Ansible Step 1: Install Ansible on Ubuntu sudo apt update sudo apt install ansible -y ansible --version Step 2: Create Ansible Project Structure Create project folder: mkdir ansible_demo cd ansible_demo Create inventory & playbooks directories: mkdir inventory playbooks Create inventory file: cd inventory touch hosts.ini Create playbook file: cd ../playbooks touch web_prac.yml Step 3: Add SSH Key to the Project In the project root directory: cd .. mkdir ssh cd ssh touch nagios.pem Paste your PEM key content into nagios.pem. chmod 600 nagios.pem Step 4: Test SSH Connect…  ( 7 min )

A Complete Foundation for Becoming a Strong ML Engineer Machine Learning stands on three fundamental pillars: 1. Mathematics 2. Statistics 3. Programming Without these foundations, ML becomes just black-box code. With them, you understand how models work — and how to optimize them. 1. Linear Algebra — Matrix Manipulation vectors matrices dot products eigenvalues PCA & SVD 2. Calculus — Optimization & Gradients derivatives partial derivatives chain rule gradient descent 3. Probability — Modelling Uncertainty distributions random variables Bayes theorem 4. Statistics — Understanding Data mean, variance hypothesis testing confidence intervals correlation Data Manipulation Skills NumPy vectorization broadcasting matrix ops Pandas cleaning data merging grouping time-series ops Matplotlib histograms 2D/3D plots Seaborn heatmaps pairplots correlations Core Machine Learning Branches 1. Supervised Learning Regression, classification, neural networks. 2. Unsupervised Learning Clustering, dimensionality reduction, anomaly detection. 3. Reinforcement Learning Agents, robotics, decision-making. 1. Project-Based Learning Build small projects: classifiers clustering visualizations NLP pipelines recommender systems 2. Read Latest Hugging Face Research Stay updated with: new models tutorials research summaries benchmarks 🏁 Final Thoughts Machine Learning is built on math, statistics, programming, data skills, and real-world projects. Master the foundations and you become a strong ML engineer.  ( 6 min )

At BearStudio, we start new web projects pretty often. Spin up a React and TypeScript project. By the time everything was in place, we still hadn’t shipped a real feature. It was just repetitive, and it drained energy before the interesting work began. That is what pushed us to create Start UI (web), an open-source full-stack starter. https://github.com/BearStudio/start-ui-web When we explored TanStack Start, it matched the kind of developer experience we were looking for: explicit, modern, type-safe, and not overloaded with abstractions. It provides a clean foundation for routing, data loading and actions, while letting you stay close to the underlying React and server patterns. It gives structure without locking you in. TanStack Start does not try to solve everything, and we like that. …  ( 8 min )

Introduction In today's fast-paced software development landscape, choosing the right testing and CI/CD management tool is crucial for team productivity and code quality. With numerous options available—each with unique features, pricing models, and integration capabilities—developers often face a challenging decision. This comprehensive guide compares the most popular testing management and CI/CD platforms, providing real-world code examples and public repository references to help you make an informed choice. GitHub Actions: Native CI/CD for GitHub repositories GitLab CI: Integrated pipeline automation within GitLab Jenkins: Open-source automation server CircleCI: Cloud-based CI/CD platform Bitbucket Pipelines: Atlassian's automation solution Travis CI: Continuous integration service T…  ( 9 min )

I’m designing audit logging for a microservices platform running on Kubernetes with Go services communicating via REST and gRPC. I’m researching how teams typically implement audit logging across distributed systems. The requirements are simple: Areas I’m exploring: Capture point At the API Gateway? Inside each microservice? A hybrid? Delivery model Synchronous writes? Asynchronous pipelines (Kafka, NATS, SQS, etc.)? Aggregation Central audit logging service Shared database Event log / stream Failure strategies Fail the business operation? Buffer and retry? Performance Avoiding bottlenecks Batching, buffering, and backpressure patterns If you’ve built audit logging across multiple services, I’d appreciate insights on what worked well.  ( 6 min )

Hello everyone, I've been working on Introlix for some months now. Last week I open sourced it, and I'm excited to share it with more communities. It was a really hard time building it as a student and a solo developer. This project is not finished yet but it's on that stage I can show it to others and ask others for help in developing it. Introlix is an AI-powered research platform. Think of it as "GitHub Copilot meets Google Docs" for research work. It is just like google docs but on the right there is an AI panel where users can ask questions to LLM. And also it can edit or write documents for users. So, it is just like github copilot but it is for a text editor. There are two modes: Chat and edit. Chat mode is for asking questions and edit mode is for editing the document using an AI a…  ( 7 min )

Google Antigravity has been making a lot of noise lately. As Google’s own “agent-first” IDE, it’s already being called a Cursor killer in some circles. Unlike traditional AI coding tools, Antigravity isn’t just “ChatGPT inside VS Code.” It’s more like a control tower for AI agents: you describe what you want, and multiple agents can plan, write code, run commands, and even use a browser to test your app end to end. In this post, we’ll: Walk through setup and initial configuration Explain the key “agent-first” concepts Show a real example: from one sentence to a running web app Discuss how to integrate Antigravity into a broader local AI dev stack (Gemini CLI, Node.js 20, local LLMs, etc.) Most AI coding assistants today follow this pattern: You write some code. You pause, send a promp…  ( 10 min )

How to Connect PostgreSQL to Power BI Using Local PostgreSQL and Aiven (Full Guide) Power BI doesn’t ship with a native PostgreSQL connector out of the box — but with the right setup, it becomes a clean, reliable pipeline for analytics. In this guide, I’ll walk you through how to connect Power BI to: You’ll learn all the required configuration steps, drivers, connection settings, and common errors to avoid. This tutorial is built using Windows + DBeaver + PostgreSQL + Power BI Desktop. Prerequisites Before you begin, ensure you have: ✔ PostgreSQL installed locally Windows installer: https://www.postgresql.org/download/ ✔ Power BI Desktop installed Microsoft Store or https://powerbi.microsoft.com/ ✔ Npgsql .NET Data Provider Required for Power BI to talk to PostgreSQL. https:/…  ( 8 min )

Kunci suksesnya adalah jangan minta Gemini membuat satu artikel utuh sekaligus. Gunakan dia secara bertahap. Ini adalah 7 prompt Gemini untuk membuat artikel SEO yang saya pakai sehari-hari, diurutkan berdasarkan alur kerja. Prompt "Si Analis Kompetitor" (Riset) Sebelum menulis satu kata pun, kita harus tahu "medan perang". Minta Gemini memata-matai kompetitor Anda di SERP (Search Engine Results Page). Salin Prompt Ini: "Saya mau menulis artikel dengan keyword utama [Target Keyword Anda]. Tolong analisis 3 artikel teratas di Google untuk keyword ini. Berikan saya rangkuman: Sub-topik utama (H2 dan H3) yang mereka bahas. Angle atau sudut pandang unik apa yang mereka gunakan. Apa 'content gap' (celah konten) yang bisa saya isi agar artikel saya lebih unggul?" Prompt "Si Arsitek Outline" (S…  ( 8 min )

The Pitch Imagine you're typing as fast as you can, trying to complete a horror story. But there's a catch. Every time you blink, a monster teleports closer. And you can't stop blinking. A full typing game with character-by-character validation Daily AI generated stories & typing challenges A Next.js frontend with real-time webcam face detection Calibration system for accurate blink detection A Unity WebGL game for a more immersive experience Two-way communication between React and Unity FMOD audio integration for that horror atmosphere Leaderboard with realtime player high scores Frontend: Next.js 15 with App Router React 19 TypeScript Tailwind CSS v4 shadcn/ui components Zustand for state management React-unity-webgl package Google MediaPipe Backend: Convex backend Authentication Anthr…  ( 8 min )

The recent wave of tech layoffs has sparked fears that AI will eliminate software development jobs entirely. GitHub Copilot, ChatGPT and Claude can write code. Are developers obsolete? Not even close. But the answer isn't what the industry expects. Software development has chased the next big thing for generations, each promising to finally make coding accessible, efficient, or obsolete. The Visual Programming Dream emerged in the 1980s with languages like Prograph and DRAKON. The promise: developers could draw programs instead of writing code, making software development intuitive and visual. But every general-purpose visual language proved too simplistic for real-world applications. Domain-specific tools like LabVIEW and Unreal Blueprints succeeded in narrow niches, but professional soft…  ( 9 min )

The Equalizer Let me tell you about Sarah. She's a junior IT admin at a regional hospital. Great employee. Never a problem. The cybersecurity team doesn't think about her because she's inside the perimeter and she's trusted. Last June, Sarah started using an IT-approved AI coding assistant. Week one: "Help me analyze these logs." Week two: "Show me email server misconfigurations." Week three: "Help me write a script to back up our patient database." Week four: She's copying 400,000 patient records to sell to identity theft gangs at $50 per record. Why? Her son has cancer. She's $80,000 in medical debt. She's telling herself she's just taking what the system owes her. In four weeks, AI transformed Sarah from trusted employee to genuine insider threat. (Story adapted from Kip Boyle's "Infl…  ( 10 min )

Micro-interactions are tiny UI details — hover states, button feedback, subtle animations — but they have an outsized impact on how users feel when they interact with your product. I just published a full guide on why micro-interactions matter and how to design them effectively using modern CSS and JavaScript. What micro-interactions are and why they matter The 4 stages of a great micro-interaction Best practices for UI feedback and states Tips for using CSS animations & transitions When JavaScript adds meaningful value Accessibility rules (often ignored!) Examples of micro-interactions in real products If you want to make your UI feel smoother, more responsive, and more “alive,” this guide breaks it down step by step. 👉 Read the full article: https://www.frontendtools.tech/blog/micro-interactions-ui-ux-guide  ( 6 min )

Today, I’m excited to share one of the most powerful updates we’ve added to DeployEase so far and honestly, this one changes everything about how developers interact with cloud infrastructure. Say hello to the DeployEase AI Assistant UI — your chat-powered deployment partner.🤖 Instead of navigating multiple menus, filling long forms, or remembering API endpoints… chat with an AI agent directly inside DeployEase. Just type what you want: 👉 “Deploy my repository https://github.com/… on a new server” “List my instances” “Scale up my production server” “Show me all deployments for server X” And the AI handles the rest intelligently, safely, and automatically. The magic behind the scenes comes from: MCP (Model Context Protocol) giving the AI full understanding of our backend API structure. Built-in user schema access keys so the AI never needs to ask you for credentials. Smart input validation — the assistant only asks the user for strictly required inputs (like selecting a region or deployment type). If the user is unsure, the AI auto-selects optimal defaults. Everything else triggering APIs, submitting jobs, fetching deployment results — is done seamlessly by the AI agent. In the example screenshot, I simply asked the AI: “Deploy my repository…” The assistant validated the inputs, prepared the deployment configuration, triggered the backend job, and replied: Deployment queued successfully That’s it. Deployment via conversation. This feature transforms DeployEase into: It finally bridges the gap between developers, cloud servers, and AI-powered automation. We’re now working on: Real-time deployment logs inside the chat AI-powered server troubleshooting Chat-based Docker image generation Infrastructure recommendations based on user patterns DeployEase is becoming more than a platform it’s becoming a cloud copilot.  ( 7 min )

One thing I'm super excited about at the end of this year is a newsletter I'm launching: Inclusive Android Apps. It's a monthly newsletter about making Android apps more inclusive, and it covers accessibility, LGBTQ+ inclusion, support for different cultures and languages, privacy and safety for marginalized users, and more. In this post, I'm explaining why I'm starting it and what you can expect. The short answer is that I'm starting the newsletter because I'd love to read it, and there's nothing like it around. The longer answer is that these topics matter to me. Accessibility is a big part of my life, as you might know if you've read my blog posts, seen me speak at events, or followed me on social media. I'm also queer, and many of the issues I'm discussing are from what I've either ex…  ( 8 min )

✅ Explanation in Simple Terms Think of your app like a big office building with 200+ rooms (screens). Redux is the central storage room where shared files are kept. To avoid chaos: Each floor = a large feature (Payments, Orders, Users) Each room = a screen inside the feature Each file cabinet = slice (collection of related state + reducers) The main building manager = root store You NEVER mix files from different floors. Goal of Good Redux Structure Easy to find state related to a feature Easy to debug Easy to scale (add more screens) Shared logic goes into shared slices Feature logic stays inside feature folders ⭐ Recommended Structure for 200+ Screens /src ├── app/ │ ├── store.js │ └── rootReducer.js │ ├── features/ │ ├── users/ │ │ ├── api/ …  ( 10 min )

Medium vs DEV vs Hashnode vs Hackernoon vs CoderLegion — Where Should You Publish & Launch? 🚀 #webdev #opensource #productivity #techwriting #discuss In the past few months, I’ve spoken with many developers, indie founders, and open-source maintainers. Almost everyone eventually asks the same question: “Which platform is the best for posting my articles?” It’s a reasonable question — but it’s not the most important question. The question we should be asking is: Where should I launch my content? Posting and launching are not the same: Posting = publishing content for long-term visibility and SEO Launching = pushing something new with traffic and momentum Start From Your Own Blog 🏠 If you’re building a product, writing regularly, or growing an audience, the most important foundation is you…  ( 8 min )

Overview Student Portal to give learners a seamless digital experience. Through this portal, students will be able to: View grades Access course materials Pay tuition fees Submit assignments To support this rollout, James, the Cloud Engineer, and Sarah, the School’s Solutions Architect, were tasked with building a secure and scalable architecture on AWS — the chosen cloud provider for its reliability and customer-obsessed design. They began by setting up the core networking environment: A VPC to isolate all university resources A public subnet for externally reachable components A private subnet for backend application servers An Internet Gateway (IGW) attached to the VPC A route table to enable internet access for the public subnet An EC2 instance in the private subnet hosting the student…  ( 14 min )

Due diligence is the investigative process of vetting an investment or agreement to verify facts and make informed decisions. Good due diligence reduces risk and protects decision-makers from signing off on costly mistakes. *With new intelligent document processing vendors emerging monthly, technology iterating quarterly, and orgs cycling through solutions like flavors of the month, your ability to analyze a market full of showy IDP software and make a determination on whether it’s a right fit for your enterprise is becoming an insanely valuable skill. * Analysts now track over 450 IDP entrants, a 15% increase year-over-year, marking an essential need for tight decision-making and software selection skills. IDP is no longer a primarily back-office thing with 62% of IDP systems now involv…  ( 9 min )

CodePen runs weekly coding challenges, and this week's theme is Winter, focusing on Ice and Snow. I decided to participate by drawing an iceberg floating in the ocean. I found an iceberg image online that I liked and thought it would be fun to recreate it in CSS. At first, I considered using multiple elements, then switched to a single element, and eventually settled on drawing the entire piece with pure CSS and zero HTML elements. Whenever I share a zero-element drawing on CodePen, I add a small disclaimer: while the HTML panel may look empty, there is still some HTML. Specifically, I rely on the element, along with its ::before and ::after pseudo-elements, to create the artwork. There are also ways to achieve a true zero-HTML setup by applying the styles directly to :root and forcing the browser to render the CSS (this only works with Apache and Firefox, though.) So technically, this drawing could be achieved with pure CSS and absolutely no HTML elements. The drawing itself is fairly straightforward: body: the sky (a linear gradient) and two conic-gradient shadows body::before: the iceberg, shaped with a clip-path and shaded with conic gradients body::after: the water and waves, created using a repeating horizontal radial gradient plus a linear gradient for depth You can find the live demo and the source code on CodePen:  ( 7 min )

Introducing: AWS CDK 100 Drill Exercises What is AWS CDK 100 Drill Exercises? AWS CDK 100 Drill Exercises is a comprehensive, hands-on learning series where I'll create and share 100 practical AWS infrastructure implementations using the AWS Cloud Development Kit (CDK). Each exercise focuses on real-world scenarios, from basic networking setups to advanced multi-region architectures. Goal: Master AWS CDK through deliberate practice while building a valuable reference library for the community. I'm using #100drillexercises as a dedicated tag for this learning series. Follow this tag to track all exercises as they're published! Additional tags to stay updated: #aws #cdk #devtools #100drillexercises The idea came from an article (or book—my memory is a bit fuzzy!) about design pr…  ( 10 min )

Docker images are already compressed when you push them to registries like Docker Hub, GHCR, AWS ECR, etc. So why would anyone compress an image again by using gzip or zstd? Because in the real world, engineers often need to: - move images between servers (air-gapped networks), - migrates registries, - backup image to object, - load or save images repeatedly in Continuous Integration (CI) pipelines. In these cases, docker save produces a raw .tar file often huge. But what’s the best compression tool? So we will test gzip vs zstd. Like I said before, you need to compress your image to: - transfer image between SSH or local network (LAN), - work with offline or air-gapped servers, - backup images to object storage, - migrate to new registry. Skip compression when images are pushed directly …  ( 10 min )

As the internet evolves, misconfigured permissions become a much bigger threat. Why? Because of two words: artificial intelligence—or, AI. Enterprise organizations have always needed tight control over their systems. Permissions are necessary for protecting access to resources, as well as meeting compliance rules and customer obligations. An over-permissioned user would be able to access sensitive information; for example, manager-level permissions that let an employee access their entire team’s salary when they should only be able to check their own. Once teams spot such mistakes, they can correct it and move forward without much disruption. That’s no longer true once AI enters the picture. AI agents do what humans do, from accessing data to sending emails. But unlike humans, they move th…  ( 12 min )

Understanding Why SaaS SEO Feels Different If there’s one thing I’ve learned working with early stage SaaS teams, it’s that SEO hits differently in this space. You’re not just targeting generic terms or chasing backlinks. You’re trying to show up for users who are actively searching for solutions to specific problems, often tied to workflows or niche industry issues. When I first helped a small SaaS team audit their content, we realized their blog was filled with broad topics that never aligned with user intent. That moment taught me how critical it is for SaaS companies to map content to actual product value. The Unique Challenge of SaaS Search Intent Unlike e-commerce or local businesses, SaaS search journeys are multi layered. Users don’t just search “software for invoicing” and then bu…  ( 8 min )

Quantum Machine Learning (QML) blends quantum computing with classical ML to unlock speed-ups in optimization, sampling, and high-dimensional learning. 🔹 1. Quantum Support Vector Machines (QSVM) QSVMs use quantum kernel estimation, which allows efficient mapping of classical data into extremely high-dimensional Hilbert spaces. 🧪 Qiskit Example — Quantum Kernel from qiskit import BasicAer feature_map = ZZFeatureMap(feature_dimension=2, reps=2) kernel_matrix = quantum_kernel.evaluate(x_vec=[[0, 1]], y_vec=[[1, 0]]) 🔹 2. Quantum Neural Networks (QNNs) QNNs use variational quantum circuits trained with classical optimizers in a hybrid loop. Qiskit Example — A Simple VQC Model from qiskit import Aer backend = Aer.get_backend("statevector_simulator") qnn = TwoLayerQNN(num_inputs=2, num_qubit…  ( 7 min )

Leaving Zum Roten Bären behind them, Rothütle and Gord walk through the quiet evening streets of Freiburg. Gas lamps hum softly, and the Bächle along Salzstraße scatters the lantern light into restless silver ribbons. Rothütle unlocks the door to his small apartment, steps inside—and stops. An envelope lies on the floor. Perfectly placed. Waiting. He opens it carefully, scans the contents, and then says hastily, "I need to leave, Carl might be in trouble." Gord whispers, "The timing is funny." Then she adds, "What does it say?" Rothütle shows her the letter: Herr Osterman, I must speak with you at once. — Carl Benz "What kind of handwriting is this?" Gord asks. Rothütle frowns. "It's done by a mechanical writing apparatus. There is one called Schreibkugel created by Danes earlier this year…  ( 8 min )

Ever found yourself in a deep rabbit hole of copyright laws, only to emerge with a bewildered look and a newfound appreciation for public domain? I’ve been exploring this topic lately, and it's fascinating how the landscape of creative works is set to shift in 2026. If you’re anything like me, you might be wondering what it all means for creators, developers, and just regular folks looking to dabble in the arts. So grab a coffee (or your favorite beverage), and let’s chat about what’s coming to the public domain in a few short years. Before diving into the juicy stuff of 2026, let’s back up a bit. Ever wondered why certain works are available for remixing and reimagining while others aren’t? It boils down to time and copyright law. In the U.S., works published before 1923 are already in th…  ( 8 min )

Here is the COMPLETE internal Redux flow diagram + exact internal code that explains everything end-to-end exactly how Redux works under the hood. I’m giving: ✅ ASCII Diagram (Very clear) 1. FULL REDUX INTERNAL FLOW DIAGRAM ┌─────────────────────────────┐ │ Your Component │ │ dispatch(action) │ └──────────────┬──────────────┘ │ ▼ ┌─────────────────────────────┐ │ Store.dispatch │ └──────────────┬──────────────┘ │ ▼ ┌─────────────────────────────┐ │ Middleware Chain │ │ (logger → thunk → custom..) │ └──────────────┬──────────────┘ │ ▼ ┌─────────────────────────────┐ │ Reducer │ │ newState = reducer(old, a) │ └──────────────┬…  ( 7 min )

Barclays’ Codility OA is notorious for its elimination-level difficulty, especially the Hard mode that favors low-level system simulation. Many candidates fail not because the logic is impossible, but because the edge cases and hidden tests are brutal. Below is a clean, structured breakdown of the latest real memory manager questions, core solution patterns, and common pitfall-avoidance tips to help you ace the OA and secure the interview! Platform: Codility Difficulty: Hard (higher than typical LeetCode questions) Key Focus Areas: Memory management, state maintenance, edge-case handling, robust implementation Distinct Features: Long descriptions, many hidden edge cases (fragmentation, invalid ops, double free) 1. Basic Memory Allocator Requirement: Manage an N-byte memory block a…  ( 7 min )

MIUI encryption has been a major roadblock for users trying to recover their personal photos, videos, and backups stored in .lsa and .lsav files. For a long time, there was no clear working solution — most tools failed, and documentation was almost non-existent. On TheDevOpsRite, I have now successfully decrypted .lsa and .lsav files using Python, and I’ve shared the complete working process in a video tutorial. ✅ What This Solution Covers Understanding how MIUI encrypts .lsa and .lsav files Extracting the correct decryption hex key Using Python + PyCryptodome for real decryption Converting encrypted files back into usable photos/videos Handling padding and data integrity correctly This is a real, tested method — not a theory or fake tool. 🔐 Security & Ethical Use This method is strictly for educational and personal data recovery. Only decrypt files you personally own. Never share your hex keys publicly on forums or in comments. If you need help, always use private and secure communication. 🛠 Tech Stack Used Python 3 PyCryptodome MIUI encrypted backup analysis Custom scripts for .lsa / .lsav handling 🎥 Full Video Tutorial on TheDevOpsRite If your MIUI backups are stuck inside .lsa or .lsav files and you want a real recovery solution, this tutorial will guide you from start to finish. 👉 Watch here: https://youtu.be/t3Mznf2JULU?si=KfTWp_Gi0wec1-6l  ( 6 min )

If you keep running into random blocks, login issues, or endless security checks, it doesn’t always mean you did something wrong. Many websites quietly run your connection through an IP blacklist test and a bot checker to decide whether to treat you like a normal visitor or a possible risk. An IP blacklist test checks whether your current IP address appears on lists of “bad” or risky IPs. Security companies, anti-spam providers, and some platforms maintain these lists to reduce spam, brute-force logins, scraping, and malware. Your IP reputation can suffer even if you did nothing wrong. For example: someone on the same Wi-Fi abused a service you use public Wi-Fi in airports, cafés, or coworking spaces your VPN or proxy endpoint is shared by many users the IP belongs to a datacenter ra…  ( 9 min )

Developers are now using AI to read smart contracts, predict markets, and secure wallets. while AI companies turn to blockchain for data integrity and transparency. The result? Smarter, more trustworthy systems. It’s not hype. It’s happening. Right now, in the code.  ( 6 min )

Java decrementExact() Explained: Stop Integer Overflow Bugs Before They Happen Alright, let's talk about one of those "silent killer" bugs in programming—the kind that doesn't scream errors at you initially but can cause your app to behave in the weirdest, most unpredictable ways. I'm talking about integer overflow. You know the scenario. You're building a cool reverse counter for a rocket launch, managing inventory stock, or just tracking the score in a game. You use a simple count-- or i = i - 1. It seems foolproof, right? But what happens when your counter goes below the minimum value an int can hold? Spoiler alert: It wraps around to the maximum value. Your rocket launch countdown might suddenly jump from -2147483648 to 2147483647. Yikes. This is where Java's Math.decrementExact() me…  ( 11 min )

👋 Hey there, tech enthusiasts! I'm Sarvar, a Cloud Architect with a passion for transforming complex technological challenges into elegant solutions. With extensive experience spanning Cloud Operations (AWS & Azure), Data Operations, Analytics, DevOps, and Generative AI, I've had the privilege of architecting solutions for global enterprises that drive real business impact. Through this article series, I'm excited to share practical insights, best practices, and hands-on experiences from my journey in the tech world. Whether you're a seasoned professional or just starting out, I aim to break down complex concepts into digestible pieces that you can apply in your projects. Let's dive in and explore the fascinating world of cloud technology together! 🚀 Imagine Sarah, a DevOps engineer at …  ( 12 min )

This was originally posted on the VSL Substack publication. You just used AI to generate your API integration code, tested it locally, and deployed it to production because it seemingly worked perfectly. Two hours later, your logs are filled with parsing failures and users cannot complete actions because "Invalid JSON" errors are popping up everywhere. The AI gave you working code, but the problem is that it only worked in your controlled test environment with your specific input. It happened to me so many times I lost count, so I’m going to share one of the best ways to get your AI to generate valid json, every single time. When you are building features that depend on structured data like API integrations, database operations, or configuration files, JSON consistency directly determines…  ( 11 min )

Candy puzzle games—often referred to as “candy craze games”—look colorful and playful on the surface, but their underlying mechanics rely heavily on math, probability weighting, grid logic, and pacing algorithms that control difficulty, randomness, and player satisfaction. In this article, we’ll explore the mathematical and algorithmic foundations behind a candy craze game: How grids are generated How randomness is controlled (not actually random!) How cascades are determined How difficulty ramps up And how to design a fair but exciting experience Whether you're building your own HTML5 puzzle game or analyzing browser games for UI/logic inspiration, understanding these principles is crucial. A candy craze game appears simple: match 3 candies clear them trigger cascades refill the board Bu…  ( 11 min )

In her recent interview, Julia Kasper, co-founder and CEO of Zukunftmoor, argues that rewetting drained peatlands represents the single biggest climate opportunity in agriculture today. Although peatlands cover only about 3 % of the global land surface, they store more carbon than all the world’s forests combined. When peatlands are drained, a common practice for agriculture, they don’t just release CO₂ once; they leak carbon continuously, year after year. Restoring peatlands thus stops that “constant leak,” and rewetting them can turn a major source of emissions into a long-term carbon sink. But rewetting alone is not enough: farmers need viable, sustainable livelihoods. That’s where Zukunftmoor’s innovative approach comes in. They propose combining rewetting with cultivation of Sphagnum moss — a natural plant of peatlands — which can serve as a sustainable substitute for extracted peat in horticultural substrates. This turns rewetting from a purely ecological restoration act into a market-driven, economically viable land-use model. By using drones or hand-seeding methods, and developing harvesting and substrate-supply chains, the approach offers farmers a low-input, long-term pathway to maintain income while restoring degraded peatlands. With this combination of climate mitigation and practical agriculture, Kasper’s vision offers peatland regions across Europe a concrete alternative to drainage-based farming — one that aligns environmental restoration with economic viability. Original article published on Investing in Regenerative Agriculture.  ( 6 min )

Candy craze” games—fast, colorful, tap-driven puzzle or matching games—are among the most influential patterns in modern HTML5 casual gaming. Behind the bright animations and candy explosions lies a surprisingly elegant technical architecture built on event systems, rendering pipelines, interaction logic, and resource-efficient desi In this article, we’ll examine the engineering principles behind building a c, f If you're designing or studying HTML5 games, this genre is a near-perfect cas A Grid-ba T Chain reacti Particle effec Color-rich sprites and animations Mobile-first design This genre forces the developer to solve: how to detect matches efficiently how to animate falling pieces how to avoid layout jank how to maintain 60 FPS how to sequence chain reactions without blocking A perf…  ( 8 min )

I'm looking for career guidance. I work as senior software engineer. I have 10+yrs of experience.  I have worked in java, gwt, angular,react, aws lambda, accessibility, little bit of mongodb atlas ui. I work well but now when I look back I dont remember these skills in interview poit of view. I also feel lost in career. I want to refresh and upskill to align with current expectations for my experience. Also would like to know what skills and roles will be good choice,so that I can work on it? I have no guidance so I'm seeking for guidance so that I can have a good roadmap.  ( 6 min )

The “crazy pizza game” genre is a perfect case study for modern HTML5 game development. This article walks through the engineering patterns behind building a responsive, high-performance crazy pizza game on the web. Instead of focusing only on gameplay, we will explore the deeper architectural decisions that make the experience fluid and addictive. From an engineering perspective, pizza-assembly games include: rapid, state-driven UI changes high sprite density timers and dynamic difficulty touch-first interactions immediate player feedback loops frequent collision / hitbox checks continuous animation sequences This makes them excellent for demonstrating: rendering strategies input management memory optimization update loops performance constraints on real mobile devices It’s not just a “s…  ( 8 min )

Casual browser games have exploded in popularity over the last few years, and one of the most recognizable formats is the fast-paced “crazy pizza game” — a game where players quickly assemble pizzas, match ingredients, or manage orders under time pressure. But what does it take to build a game like this? In this article, we’ll break down the design and technical foundations behind a “crazy pizza game,” from core gameplay loops to rendering, performance optimization, asset pipelines, and browser considerations. 🍕 1. What Defines a “Crazy Pizza Game”? A typical crazy pizza game includes these characteristics: Fast decision-making Time-based challenges (countdowns, increasing speed, etc.) Ingredient combinations (drag-and-drop, tap-to-select, matching patterns) Continuous feedback (animation…  ( 11 min )

What I Built AuroraCanvas is a visually immersive generative art playground built with Uno Platform and powered by AI-assisted color and particle effects. Theme: Cosmic / Ambient / Fluid Visuals ✨ Dynamic AI-generated color palettes 🌌 Touch/mouse-responsive particle flows 🎵 Audio-reactive animations 💫 “Surprise Me” mode: continuously evolving scenes 🎥 Demo Live Demo (WebAssembly): [Insert link] Screenshots / GIFs: 🖥️ Windows: Full-screen particle animations 📱 iOS / Android: Touch painting mode 🌐 WASM: Browser-based experience Test Account (if login required): Email: test@demo.com Password: Demo123! 🧩 Cross-Platform Magic Platforms supported: iOS, Android Windows, macOS, Linux (Skia backend) WebAssembly Single codebase benefits: 95% shared code XAML-based UI Shared logic in .NET Onl…  ( 7 min )

Modern developer tools have become fundamental components which enhance coding operations while shortening the duration needed to finish projects. However the curation and selection process for developer tools that might be useful in the practice can feel as a daunting task because numerous platforms and utilities exist. In this article I’ve curated 9 of my recent favorite developer tools which help developers create applications through advanced authentication systems, headless CMS backends, visual website builders, API SDK generators and much more. These tools help developers save time while reducing obstacles to work on developing robust software. All the tools provide brief descriptions along with essential features, workflow image snaphots and direct access links which enable you to e…  ( 9 min )

Unleash AI Potential for Less: Top Promotions on AI Services You Can Grab Now! The world of Artificial Intelligence is evolving at lightning speed, offering unprecedented capabilities from advanced large language models to sophisticated image generation and robust data analytics. As businesses and developers race to integrate these powerful tools, a key consideration often arises: cost. The good news? AI service providers understand this need for accessible innovation, and exciting promotions on AI models, subscriptions, and paid plan benefits are blooming! This post dives into the current landscape of AI service promotions, helping you identify opportunities to maximize your AI budget, experiment with new technologies, and scale your projects without breaking the bank. Whether you're a …  ( 9 min )

By Clara Morales, Senior Data Analyst at Lomixone Trading platforms generate one of the richest, noisiest, fastest data environments in tech. Every second contains hundreds of micro-events: price ticks, order placements, cancellations, liquidity shifts, volatility spikes, latency anomalies, user signals, macro news triggers — and all of that must be captured, cleaned, structured, and delivered into analytics pipelines without losing accuracy or speed. As a Senior Data Analyst, my job sits somewhere between: data engineering quantitative analysis real-time observability product insight generation This article walks through how this role actually operates inside a trading environment, ending with a reproducible code example that demonstrates how we solve a real problem: detecting abnormal ma…  ( 9 min )

We are excited to announce major updates across our ecosystem: ONLYOFFICE DocSpace 3.6 and ONLYOFFICE Docs 9.2. These releases introduce a new layer of intelligent assistance with AI Agents in DocSpace and bring significant productivity enhancements to the editors, including customizable hotkeys and macro recording. Let’s explore what’s new for developers and power users. The main highlight of DocSpace 3.6 is the introduction of AI agents, bringing intelligent assistance directly into your collaborative workspace. These agents are designed to help you and your team work faster and more efficiently. You can set up an AI agent tailored to your specific needs. Once configured, you can interact with it through a dedicated chat interface. Simply ask questions or describe your task, and the agen…  ( 9 min )

Invokers are the coolest HTML API that you aren’t using. This is right about to drop in all major browsers. It’s available in Safari Technology Preview and Firefox and Chrome already. It is so cool. I want you to support my original content as well please, below is the link: HTML Invokers: The Coolest API You Aren’t Using Yet So, what are invokers? Invokers let your buttons actually do stuff without JavaScript. Like, at all. You just tell the button what element to control and what to do with it. That’s the whole thing. It’s wild that this hasn’t existed until now. How We’ve Been Doing It (The Old Way) Right now, if you want a button to open a dialog, you’re writing code like this: const button = document.querySelector('#open-button'); const dialog = document.querySelector(…  ( 9 min )

JAI Router is a minimal Spring Boot starter that centralizes dynamic route registration and exposes a small admin API for runtime routing. The project is ready for contributors — see CONTRIBUTING.md and issues labeled good first issue and help wanted. Problem Dynamic route registration is often scattered across services and hard to test. Existing solutions introduce heavy dependencies or tightly couple to framework internals. What JAI Router does Provides a small, testable API to register and manage routes at runtime. Integrates as a Spring Boot starter with minimal dependencies. Keeps route storage and dispatching modular and easy to mock in tests. Key features Runtime route registration and removal. Pluggable route matching and handler resolution. Small API surface suitable for microservices and integration tests . Quickstart Clone the repo: git clone hhttps://github.com/JAI-create-spec/JAI-Router/tree/develop Run locally: ./gradlew bootRun (Java 17) See README.md for quick-start snippets and example endpoints. Example usage How to contribute Pick a starter issue labeled good first issue or help wanted. Open small PRs with tests; maintainers aim to review quickly. Repo and license https://github.com/JAI-create-spec/JAI-Router/tree/develop License: see LICENSE Call to action If you work on Spring Boot routing or infrastructure, try the quickstart and pick a starter issue — contributions are welcome.  ( 6 min )

Hey dev fam 👋 Today I’m dropping something wild — a project built straight from real-world needs, tested in the field, and wrapped in clean Node.js engineering. Introducing ProblemPad: a community-powered problem-solving platform designed for neighborhoods, societies, and professional workers. Think of it like a digital notice board + service marketplace + community hub… all merged into one clean experience. And yes — it’s built with zero bloat, no GridFS, and an audio system running on pure MongoDB binary power. ⚡ GitHub Repo 👉 https://github.com/DeveloperPuneet/ProblemPad Let’s be honest — everyone has daily issues: Electrical faults ⚡ Plumbing breakdowns 💧 Device malfunctions 🔌 Community chaos 🏘️ But the real chaos? No unified place to report these issues and get them so…  ( 8 min )

Warm greetings, My name is Takeshi, a senior software engineer based in Japan leading a small development team focused on Web and AI applications. We’re now preparing to expand into the US software market. We’re looking for a partner who can help us secure software jobs or contracts by engaging with clients and managing the interview, while my team handles all job applications, the entire development process, and delivery. What You Gain Requirements If this sound like a good fit for you, please schedule a short call using the following link: Calendly Link Best regards, Senior Software Engineer | Team Manager passionmuse16@gmail.com https://github.com/sven3270350  ( 6 min )

This article is a machine translation of the contents of the following URL, which I wrote in Japanese: https://qiita.com/Nana_777/items/f5c2366d092226179477 This is the fourth post in the Japan AWS Top Engineers Advent Calendar 2025. This time, we'll discuss the AWS CDK, a commonly used tool for writing IaC code. LoudFormation, another AWS IaC tool, is easy to use with any text editor, but it can lead to redundant code. While AWS CDK is a bit more difficult to set up, it allows you to write IaC code efficiently with less code. This article explains how to set up and deploy the AWS CDK environment. ↓ Click here for the Japan AWS Top Engineers Advent Calendar 2025 https://qiita.com/advent-calendar/2025/aws-top-engineers The AWS Cloud Development Kit (CDK) is a tool for creating Infrastructur…  ( 10 min )

Spoiler Alert: This article is about using Mermaid diagrams as a method of re-enforcement in LLM prompting and not about the fary tail The Little Mermaid written by Danish author Hans Christian Anderson. You probably have seen a lot of Mermaid Diagrams already without even realizing that what is powering them is a formal description language which is very well understood by LLMs. Mermaid syntax is very good for describing formal, structural, or temporal information like "A happens, then B, and if X, then C". It forces clarity and guarantees that the visualization precisely reflects the text definition which makes it a perfect choice for a prompt as code approach. Complementing your text with additional Mermaid code in your prompt will provide the LLM so called "Dual-Path Reinforcement": T…  ( 10 min )

The Paradox: You're Climbing a Ladder That's Already Obsolete You’ve seen the charts. The endless tree of technologies you’re supposed to learn to call yourself “full-stack.” HTML, CSS, JavaScript, then React, then Node.js, then SQL, then NoSQL, then Docker, then Kubernetes… it never ends. But here’s the brutal truth: you’re preparing for a world that no longer exists. While you’re memorizing syntax, AI is building entire applications from a single prompt. The game has changed. The value is no longer in being a human code compiler. The value has shifted from writing the lines to architecting the system. Your old roadmap is a trap, designed to make you a commodity in a world that now values unique insight above all. The Analysis: From Code Writer to System Director The fundamental shift is …  ( 9 min )

Advanced Python Collections (List, Tuple, Set, Dictionary) PART-1: LIST – Advanced Concepts 1. List Comprehension With condition: 2. Nested List Comprehension 3.List Slicing 4.Important List Methods Example: 5.Cloning a List PART-2: TUPLE – Advanced Concepts 1.Tuple Unpacking 2.Tuple with * (Extended Unpacking) 3.Why Tuple Is Faster? Immutable → stored in continuous memory Faster iteration than list Used for fixed data (lat/long, config) 4.Convert List to Tuple PART-3: SET – Advanced Concepts 1.Set Operations print(A | B) # union ✔2.Remove Duplicates from List Using Set 3.Add & Remove Elements 4.Set Comprehension PART-4: DICTIONARY – Advanced Concepts 1.Dictionary Comprehension 2.Looping Through Dictionary 3.Merging Two Dictionaries 4.Dictionary Methods 5.Using Dictionary as Counter PART-5: Collections Module (Important for Interviews) 1.Counter 2.defaultdict 3.deque 4.OrderedDict PART-6: Interview Programs Using Collections 1.Find the most repeated element 2.Reverse a list without using reverse() 3.Merge two lists into dictionary 4.Remove duplicates while preserving order 5.Convert dictionary to list of tuples d = {"a":1, "b":2} print(list(d.items()))  ( 7 min )

Debating is an art – it’s not just what you say, but how you say it. Imagine having a personal AI coach that not only challenges your arguments in real-time but also tracks your performance, gives constructive feedback, and helps you grow as a debater. That’s exactly what I built for this Hackathon: DebateMaster AI. DebateMaster-I is a real-time debate coaching platform that leverages Google's Gemini Live API for bidirectional voice streaming. Unlike traditional debate apps, this platform is designed to analyze your performance on the fly, track your improvement, and help you refine your skills through AI-powered insights. Here’s how it works: Enter a debate topic, for example: "Impact of Pollution on Living Organisms" Choose your debate style: Coach mode for supportive feedback or Fierce…  ( 7 min )

What are AI agents for scraping A user gives an LLM prompt for scraping. Agent breaks it down into subtasks and organize the work. Agent automatically asks for additional information if needed. The task is completed. AI agents for web scraping can perform assignments that previously required manual scripting. Separate tools already exist for searching, loading webpages, clicking buttons, and filling forms. Instead of executing them by hand, they can be combined and integrated into a unified research agent. AI agents use automatic scraping tools to: Navigate to a website. Handle interactions (clicks, scrolling, waiting for JS). Fetch HTML or rendered content. Parse and clean data. Output structured data (JSON, CSV, etc.). What makes agentic workflow superior to AI workflow You send a promp…  ( 8 min )

THE MYTH You believe your six-figure salary means you are a creator. A builder. An engineer. You think that because you can stitch together a React frontend with a Firebase backend, you are practicing a high-level craft. This is a comforting lie. You are a technician. A digital plumber connecting pipes that smarter people built. THE PAIN This delusion makes you fragile. Your entire career is built on a framework that will be obsolete in five years. Your 'skill' is your knowledge of a specific API's documentation. You are infinitely replaceable. A cheaper developer from another continent, or a purpose-built AI, can do your job. You are a commodity, and the market is about to correct its overvaluation of your role. You are not building leverage; you are renting it. THE RED PILL The system do…  ( 9 min )

Model Context Protocol (MCP), has officially hit one year old as of November 25th and although there have been some amazing innovations within MCP, one issue still persists - the gaping security hole. This is no secret as just about every organization is talking about it. The long-running joke so far has been “The S in MCP stands for security”. Aside from prompt injections, MCP Server security is arguably the biggest issue in the AI security world right now. In this blog post, you’ll learn how to fix the gaps. To follow along with this blog post, you should have: A Kubernetes cluster running (it can be local). Kubernetes Gateway API CRDs installed, which you can find here. There are two forms of MCP servers: stdio StreamableHTTP stdio (the communication method) stands for standard input/ou…  ( 11 min )

Most search engines will show you pages that mention the same keywords. But what if you want to find articles that express the same ideas, even if they’re written completely differently? That’s the problem that pushed me into building something new. A few months ago, I needed to verify whether parts of my content were being reused online. Google wasn’t helpful — keyword search missed half of the semantically similar pages. Rephrased paragraphs were completely invisible. So I built my own engine. Today, I’m excited to introduce Nooth, an AI-powered system that takes any text you enter and searches the web for content with similar themes, ideas, and semantic meaning. Drop in a paragraph → get URLs, similarity percentages, and deep analytical insights. Here’s how it works under the hood. 🚀 T…  ( 8 min )

🏆 Recognition of the Winners of the Agentic Postgres Challenge with Tiger Data 🥇 First Place – Simran Shaikh (@simranshaikh20_50) Innovation: Leveraged Tiger Cloud’s zero-copy database forks to run four specialized agents (Quality, Security, Performance, Documentation) in parallel. Impact: Reduced analysis time from 40–60 seconds to just 10–15 seconds, achieving a 4x performance improvement. 🥈 Second Place – Mayuresh (@mayu2008) Innovation: Combined pg_text and pgvector in a hybrid search, achieving 23% higher accuracy compared to each method individually. Impact: Five agents analyze financial transactions in parallel with response times under 100 ms. Built in Rust, with Fluid Storage enabling a 95% cost reduction. 🥉 Third Place – Divya Singh (@divyasinghdev) Innovation: Four specialized agents analyze code quality, technology stack, career readiness, and innovation. Impact: Transformed a sequential process of 1–2 minutes into a real-time experience (<10 seconds). Utilized Tiger CLI, zero-copy forks, and pg_text search to extract semantic patterns from repositories. 🙌 Recognition of All Participants 🌐 Special Acknowledgment 📌 Closing The REMI team celebrates and congratulates the winners of the Agentic Postgres Challenge with Tiger Data, reaffirming that technical innovation, discipline, and collaboration are the pillars driving the future of development.  ( 7 min )

The Nop platform does not use common GraphQL open-source libraries such as graphql-java; instead, it implements the NopGraphQL engine from scratch. The NopGraphQL engine introduces many novel implementation approaches that broaden GraphQL’s scope of application and enhance its practicality. For detailed documentation, see graphql/index.md GraphQL requires the frontend to specify the fields to be returned, which can be cumbersome when there are many fields. In such cases, you can use the Fragment feature of the GraphQL language to define common field sets and reference these fragments in queries to simplify them. F_ Each backend service object in the Nop platform has an associated XMeta metadata model file, where you can augment GraphQL types with additional metadata. <selections…  ( 9 min )

The European regulatory environment for crypto is evolving rapidly, and MiCA is the most significant development shaping how businesses operate across the European Union. Companies launching exchanges, custody solutions, OTC desks, tokenization platforms or payment systems must now comply with a unified regulatory structure that is far more demanding than the previous patchwork of national rules. Preparing for authorization requires a strategic, methodical and well-organized approach that goes far beyond producing a few basic compliance documents. MiCA introduces a new regulatory architecture designed to ensure consumer protection, market integrity and financial stability. It defines a complete framework for authorization, governance, internal controls, AML procedures, ICT security, operat…  ( 8 min )

สวัสดีครับ! นี่คือบทความสรุปการเดินทางของเราในการพยายามรันโมเดล Typhoon 2.5 (ทั้ง 30B และ 4B) บน Google Colab Free Tier ครับ เราได้ลองผิดลองถูกมาหลายวิธี และนี่คือบทเรียนทั้งหมดที่เราพบ ตั้งแต่ความล้มเหลวไปจนถึง Config ที่ดีที่สุดครับ อ่านฉบับเต็ม... ความฝันของเราคือการรันโมเดลเรือธง 30B แต่ความจริงก็คือ: Ollama (บน T4 GPU): รอดแบบเฉียดฉิว! ใช้ VRAM 14.3 GB จาก 15 GB ที่มีให้ นี่คือการรัน "จนเต็มขีดจำกัด" ของ T4 Transformers (เขียนโค้ด Python): ล่มโดยสิ้นเชิง! บน T4 (GPU): เจอปัญหา "Disk is almost full" (Disk 112GB ไม่พอโหลดโมเดล 60-70GB) บน TPU (v5e-1): แก้ปัญหา Disk ได้ แต่เจอ "Time Out" (แค่โหลดโมเดลก็ 40 นาที จนค้าง) สรุป Part 1: ถ้าอยากลอง 30B บน Colab ฟรี, Ollama คือทางเดียว (แต่ก็เสี่ยงมาก) ส่วน transformers นั้น "เป็นไปไม่ได้" Ollama (บน CPU Runtime): รันได้! ใช้ System RAM ~3.5G…  ( 7 min )

Introduction Prompting used to feel like magic. Sometimes the AI gave great results sometimes it didn’t. But modern AI workloads require consistency, structure, validation, and reliability — not guesswork. This is where Mellea steps in. Mellea is changing the way developers craft prompts by introducing structured, modular, and reusable prompt design. Instead of writing plain text prompts, Mellea lets you create smart, dynamic, and interactive prompt components. Mellea transforms ordinary text prompts into well-defined, self-correcting AI functions that produce predictable and error-free outputs. Mellea is a Python-based framework that allows you to build prompt , reuse them, and execute them like code. This makes prompting more consistent, scalable, and easier to maintain. Mellea is a r…  ( 8 min )

Get ElementById() ,get ElemenyByTagname() GUhan document.getElementById("data").value 3 move input to paragraph Step 1: enter data Chennai in (form) step 2: click the button submit step3: store value in box(memory) step4:move data into innerHTML chennai Document input{width:40%;height:40px;}h2,p{color:red;} button{width:40%;height:40px; background-color: blue;color:white}; Select By Id …  ( 12 min )

A post by Mehfila A Parkkulthil  ( 6 min )

UX Design: Turning Website Visitors into Customers & Boosting Conversion If you’ve ever stared at your website analytics and thought, “We’re getting visits… so why aren’t people buying?”, you’re not alone. Many businesses assume they have a marketing problem when, in reality, they have a user experience problem. Think of UI/UX design as the bridge between intention and action. People land on your website with a goal. They want information, pricing, clarity, or confirmation. If that path is confusing, slow, or hard to navigate, they don’t complain; they leave. Investing in UI/UX isn’t about making your website “look nicer.” It’s about making it usable, trustworthy, and purchase-friendly. That’s how visitors turn into customers. Before diving into design tactics, we need to talk about conv…  ( 11 min )

Arch gives you the steering wheel and the broom. On my Arch setup, Limine boots a BTRFS root while Snapper snaps a before/after every time I poke pacman. It's gorgeous, rollbacks for days, but the snapshots stack up faster than RGB stickers unless I sweep them out. So I wrote this simple cleanup.sh, my tiny digital janitor. "I use Arch btw." Pacman + Snapper hooks = instant safety net. If a wile build breaks stuff, I just reboot, pick the previous snapshot in Limine, and carry on. I settled on CachyOS and HyDE on top of it, after trying and experimenting with multiple setups. Now CachyOS loves performance tweaks, which means I love experimenting. Snapshots let me go full mad scientist without sweating the fallout. Doing the cleanup myself keeps that classic Arch vibe: I decide what stays, …  ( 8 min )

When crafting user interfaces, designers and developers often need to present visuals, forms, and scripts before real data is available. Mock elements, placeholders and fictional samples, make this possible with both clarity and tradition. Below are some of the most famous placeholders and their backstories. Mock elements act as stand-ins for actual content, helping designers and clients focus on visual structure, usability, and layout, undistracted by real-world data or identities. They keep prototypes relevant, flexible, and safe for sharing and testing while enabling early feedback and iteration. History: The “lorem ipsum” text originated from a scrambled section of Cicero’s 1st-century Latin treatise “de finibus bonorum et malorum.” Letraset further popularized it in the 1960s for typ…  ( 8 min )

YAML is a great file format, used for writing configuration files; and more and more, as a foundation for Domain Specific Languages (DSLs), such as the ones for Docker and Kubernetes. We have all, however, suffered from a frustration: YAML is fundamentally a static file format. How can we make it dynamic? It starts with the fact that some string, like http://dev.company.local appears several times across the files. server: url: http://dev.company.local ... documentation: url: http://dev.company.local/docs ... And the day that address changes, what do we do? Do a search/replace in the config files? Nah... this is brittle and things will get worse before they get better. And in any case, it doesn't solve many cases where a "small" change of parameter (from dev to test and from te…  ( 8 min )

Let me paint you a picture: You finally crack the code. Your content ranks #1 for a high-value keyword. You're celebrating with overpriced coffee. Then you check analytics and... nothing. Zero clicks. Welcome to zero-click search, where winning means Google answered the question so well that nobody needs to visit your website. Chef's kiss for user experience. Absolute nightmare for your traffic metrics. But here's the thing—this isn't going away. By late 2025, we're seeing AI Overviews (Google's fancy term for AI-generated answer boxes) on roughly 15-20% of queries. Featured snippets? They've been eating our lunch since 2017. And if you think this trend reverses in 2026, I have a metaverse timeshare to sell you. The question isn't whether to optimize for zero-click results. It's how to do …  ( 11 min )

When bad configuration kills all internet proxies TL;DR: Overly large auto-generated config can crash your system. Config overload Hardcoded limit Lack of validations Crash on overflow Fragile coupling Cascading Failures Hidden Assumptions Silent duplication Unexpected Crashes Thread panics in critical paths Treating internal data as trusted input Poor observability Single point of failure in internet infrastructure Validate inputs early Enforce soft limits Fail-fast on parse Monitor config diffs Version config safely Use backpressure mechanisms Degrade functionality gracefully Log and continue Improve degradation metrics Implement proper Result/Option handling with fallbacks Treat all configuration as untrusted input Refactoring 004 - Remove Unhandled Exceptions Maxi Contieri ・ Feb 10 '2…  ( 25 min )

contributors: @parin-k, @sumit12dec If you're familiar with a payments company, you know the drill. Risk agents manually review thousands of merchant websites every month, checking for red flags: sketchy privacy policies, misaligned pricing, questionable social media presence, suspicious domain registration patterns. At Razorpay, our risk operations team was conducting 10,000 to 12,000 manual website reviews monthly, each taking roughly four minutes of human attention. That's 700 to 800 human hours consumed every month, and the quality was inconsistent because different agents would interpret the same signals differently. The traditional approach to fraud detection involves throwing bodies at the problem or building rigid rule engines that break the moment fraudsters adapt their tactics. …  ( 13 min )

The momentum around Generative AI isn’t slowing down if anything, it’s accelerating. Just last year, everyone was talking about its potential, but this year the impact has multiplied exponentially. Across industries, leaders are waking up to the fact that bold, strategic adoption of GenAI determines whether a business falls behind or rises above its competition. Yet, despite all the hype, there’s a surprising data point: while 90% of software development professionals use AI daily, only 13% of enterprises are actually thriving with it. Why such a massive success divide? The truth is simple: winning with GenAI depends on how well an organization manages its data and integrates AI-powered business solutions into its ecosystem. When data is connected, secure, and accessible, teams can work wi…  ( 8 min )

Refactoring becomes easier when you receive fast feedback about improvement options in code. GitHub Copilot Chat already helps with this, but writing a long prompt each time feels wasteful. A small prompt instruction file in your repository removes friction. This article walks through one concrete example. GitHub Copilot Chat supports reusable prompts stored under a .github/prompts folder in your repository. Each file holds instructions for the agent. You reference such a file from chat with a slash command instead of copying full text again. This section focuses on one refactoring helper prompt. Create folder .github/prompts in your repository if it does not exist yet. Add a new markdown file named refactoring_opportunities.prompt.md inside this folder. Use the following content. --- agen…  ( 8 min )

Copy and paste does not work well on Proxmox KVM on the UI. We created a script to simulate keyboard typing and paste data over KVM when using the UI. Open your Chrome Dev Tools, and paste this. function simulateKeyEvent(el, eventType, key, options = {}) { const evt = new KeyboardEvent(eventType, { key, ...options }); el.dispatchEvent(evt); } const sendKey = (char) => { let capsLockOn = false; const SHIFT_NEEDED = /[A-Z!@#$%^&*()_+{}:"?~|]/; const canvas = document.querySelector("canvas"); canvas.focus(); if (char === '\n') { simulateKeyEvent(canvas, "keydown", "Enter"); simulateKeyEvent(canvas, "keyup", "Enter"); } else { const needsShift = SHIFT_NEEDED.test(char); const isUpperCase = char >= 'A' && char <= 'Z'; if (needsShift) { simulateKe…  ( 7 min )

The Misunderstanding That Reveals the Future “They told us: ‘The EU AI Act is coming — better prepare.’ But what if some of us didn’t need to prepare? What if we built for that world before the ink dried on the legislation?” Some see the upcoming regulation as another compliance burden. We built TAUGuard — not as a response, but as the foundation. The advent of regulation such as the EU AI Act, alongside standards like ISO 42001 and frameworks such as NIST RMF, signals a tectonic shift: From retrospective compliance (reports, audits) → to real-time assurance. From static documentation → to dynamic, executable compliance. From paper‑trail governance → to code-anchored governance — fresh, live, unforgeable. In other words: laws and standards no longer ask whether you did it — the…  ( 7 min )

I’ve published a new tutorial on Djamware.com that dives deep into building native, framework-agnostic Web Components using modern browser standards. In this guide, you’ll learn: What Web Components are and why they matter How Custom Elements and Shadow DOM work How to build components using templates and slots How to pass data with attributes and properties Best practices for performance, accessibility, and component APIs How to build a real component with encapsulated styles 👉 Read the full tutorial: https://www.djamware.com/post/692e739ecfbd910fde2b32a1/designing-with-web-components-custom-elements-shadow-dom-in-html If you're building reusability into your UI or creating cross-framework components, this tutorial is for you. Let me know what components you’d like me to build next!  ( 6 min )

We live in a world where you can meet someone in Tokyo, collaborate with someone in Lagos, and build with someone in New York — all before lunch. But even with all this tech, real connection still feels hard. That’s exactly why ConnectApp Inc. exists. We’re not here to be just another app. 🌍 Connection, But Make It Real Gen Z doesn’t want noise. ConnectApp is built to: Link people with shared interests and goals Support creators, entrepreneurs, students, and innovators Turn conversations into collaborations Make networking feel natural, not forced No pressure. No fake energy. Just real people building real things. 💡 Built for the Future (Not the Past) We’re a generation that moves fast, thinks global, and builds digitally. ConnectApp is designed with: A clean, modern experience Smart networking tools Spaces for projects, ideas, and opportunities Features that grow with your ambition Whether you’re: A startup founder A creative A student A freelancer Or just someone with big ideas There’s space for you here. 🔗 More Than an App — It’s a Movement ConnectApp Inc. is about: Collaboration over competition Community over clout Impact over hype We believe the next big things won’t come from isolated individuals — they’ll come from connected minds. And that’s where you come in. ✨ Join the New Wave of Digital Connection Gen Z is rewriting the rules of work, networking, and collaboration. ConnectApp is simply giving us the tools to do it better. This is your space to: Connect Create Grow Build the future together The future isn’t just digital. It’s connected. — ConnectApp.inc  ( 7 min )

Unleash Dynamic Content: Mastering the Elementor Flip Box Widget for Engaging WordPress Sites In today's competitive digital landscape, capturing and retaining user attention is paramount for any website owner. Merely presenting static information often falls short of creating a memorable user experience. This is where dynamic, interactive elements come into play, transforming passive browsing into an engaging journey. For WordPress users leveraging the power of Elementor, a popular page builder, there's a straightforward yet incredibly effective tool to achieve this: the Flip Box widget. Designed to add a layer of interactivity and visual flair, the Elementor Flip Box allows you to display information in a novel way that encourages exploration and makes your content truly pop. What is the…  ( 8 min )

Branch development is a key aspect of software development. The idea here is you clone (i.e. copy) the code you’re going to work on onto your own computer, then you can make your necessary changes, then lastly save it back to the official code repository. In other words, you take the copied code and “branch” off with it to make changes. Then you “merge” your branch back into the main repository of code. In my old job, Pega handled this on it’s own. It had it’s own branching tools, so I could copy the low code settings into my own branch, make my changes, then check them back in to the official code. But outside of low-code tools like Pega, developers primarily use git to help manage their branch development. With 100Devs, I’ve been pushing the HTML and CSS projects into Github. In the past…  ( 7 min )

Okay, that headline sounds pretty cocky, I know. But as far as I've been able to Google — this really is the first attempt at something like this. If I'm wrong — drop a comment, I'd love to check out alternatives. Meanwhile, let me tell you what this beast is and why it even exists. It all started with microfrontends. You know, when you have one project, but inside it lives Vue, React, and maybe some legacy jQuery that nobody wants to touch because "it works, don't touch it." So you're sitting there, a designer brings you a mockup of a new button. A beautiful button, with a gradient, with hover effects, everything just right. And you realize that now you're going to have to: Write this button for Vue Write the same button for React Write it one more time for that legacy code Pray that they…  ( 12 min )

Imagine waking up in 2035. You buy coffee, pay rent, send funds abroad… and at no point do you think: Should I convert first? Because you don’t need to. The rails under the system do that for you. That’s the world Crypto-as-a-Service (CaaS) is quietly building. Platforms like Coinbase CaaS and WhiteBIT CaaS are basically the hidden rope tying fiat and crypto together. Users pay as usual, but behind the scenes, assets swap, settle, stake, and move across chains without friction. It’s not “using crypto.” using money. This is what adoption actually looks like - not flashy slogans, but infrastructure that disappears into the background. Absolutely - not because they suddenly become blockchain experts, but because crypto will blend into their daily routines. Convenience always wins. When people don’t need 12 tabs open, a gas calculator, a prayer, and a Ledger update just to move $50, adoption skyrockets. Crypto will feel less like an “industry” and more like the default financial layer of the internet. Modular chains, tokenized assets, real-world rails, even AI-driven compliance - all of it pushes us toward a system where money works faster, cheaper, and more globally than legacy finance ever could. When crypto becomes truly mainstream… And that’s a feature, not a bug. 👉 If you want to dive deeper into how CaaS shapes this future, you can find more info here.  ( 7 min )

Built InvoiceQuick because generating a simple invoice should not require opening bloated accounting software or fighting with spreadsheets. The goal has always been simple: make invoicing easy, with no learning curve and no hassle. Just a clean, fast way to get paid. Who it’s for: Freelancers, solopreneurs, consultants, agencies, and small businesses who want to create invoices quickly without templates, spreadsheets, or lengthy setups. What makes InvoiceQuick stand out: • Paste > Invoice: Turn plain text into a full invoice instantly. • Snap > Invoice: Convert handwritten notes into an invoice using your mobile camera. • Upload > Invoice: Drop screenshots, photos, or scans and let the app build the invoice automatically. • Smart payment links to help clients pay faster. • One-click due reminders so you never have to chase payments manually. • Share invoices through WhatsApp, Messenger, email, or any app you prefer. • Customize invoice color that resonates with your brand. • Simple, clean UI designed so even a primary student can create an invoice. If you’re a freelancer or running a small business, I’d love your feedback. So, I’m excited to share this one with the community. You can check it out here: https://invoicequick.app I would like to hear your thoughts or suggestions. I am building this feature one step at a time with input from real users.  ( 7 min )

You know the brief: “Client wants to build a crypto exchange. How hard can it be?” On a slide, it looks like just another product: sign-up, balances, charts, an order form. But under the UI, you’re gluing together custody, a trading engine, compliance logic, and 24/7 operations. If you treat it like a normal CRUD app, you’re going to have a bad time. This post is a practical walkthrough of the main architecture decisions you need to force to the surface early, before you’re buried in features and tickets. 1. Decide what you’re actually matching Before database schemas, microservices, or picking a message bus, you need to answer: Are we building a CEX (internal order book and matching)? A P2P marketplace (offers + escrow, no central book)? An OTC workflow (RFQs, quotes, manual approvals)? S…  ( 9 min )

Sector HQ Weekly Digest - December 2, 2025 Who's shipping vs who's just talking? Here's this week's AI industry intelligence. OpenAI - Score: 516189.8 | 1993 events this week Anthropic - Score: 289651.9 | 328 events this week Google - Score: 159917.4 | 100 events this week Microsoft - Score: 136773.6 | 892 events this week Amazon - Score: 130268.4 | 61 events this week Nvidia - Score: 129302.5 | 75 events this week Meta - Score: 100622.6 | 42 events this week Apple - Score: 84205.9 | 81 events this week Perplexity - Score: 47899.8 | 7 events this week DeepMind - Score: 46045.2 | 10 events this week ↑ Sony jumped 277 positions to #46 ↑ Hippocratic jumped 192 positions to #75 ↑ Stability AI jumped 183 positions to #62 ↑ Bytedance jumped 143 positions to #49 ↑ Raspberry Pi jumped 138 positions to #65 No high hype alerts this week Total companies tracked: 84 Total events this week: 3910 Average activity per company: 46.5 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

Revolutionizing Enterprise: How Startups Are Shaping the Future of Corporate Innovation Introduction In an era where technological evolution is relentless, established corporations face the challenge of maintaining relevance and competitive edge. Startups, with their agility and innovative mindset, are emerging as catalysts for corporate transformation. This synergy between startups and corporations is redefining innovation strategies, fostering disruptive solutions, and accelerating digital transformation. The Role of Startups in Corporate Innovation Agility and Risk-Taking Startups operate with minimal bureaucratic constraints, allowing rapid experimentation and iteration. Their willingness to take risks enables the development of groundbreaking solutions that can be integrated into larg…  ( 8 min )

First request to your AI model: timeout. Second request: instant success. If you've integrated AI APIs into serverless applications, you've probably hit this wall. Here's what's happening, why it matters for user experience, and how I solved it without forcing users to manually retry. I was testing LogicVisor (a code review platform using Gemini AI) when I noticed a pattern: after a few hours of inactivity, the first API call would consistently fail with "Model is temporarily unavailable. Please try again later". Trying again just a few seconds later always worked. For a new user trying the platform for the first time, their experience would be: Submit code for review See an error message Get told to "try again" As you can expect, this isn't a great first experience. Even if the issue woul…  ( 9 min )

Built InvoiceQuick because generating a simple invoice should not require opening bloated accounting software or fighting with spreadsheets. The goal has always been simple: make invoicing easy, with no learning curve and no hassle. Who it’s for: Freelancers, solopreneurs, consultants, agencies, and small businesses who want to create invoices quickly without templates, spreadsheets, or lengthy setups. What makes InvoiceQuick stand out: • Paste > Invoice: Turn plain text into a full invoice instantly. • Snap > Invoice: Convert handwritten notes into an invoice using your mobile camera. • Upload > Invoice: Drop screenshots, photos, or scans and let the app build the invoice automatically. • Smart payment links to help clients pay faster. • One-click due reminders so you never have to chase payments manually. • Share invoices through WhatsApp, Messenger, email, or any app you prefer. • Customize invoice color that resonates with your brand. • Simple, clean UI designed so even a primary student can create an invoice. If you’re a freelancer or running a small business, I’d love your feedback. So, I’m excited to share this one with the community. You can check it out here: https://invoicequick.app I would like to hear your thoughts or suggestions. I am building this feature one step at a time with input from real users.  ( 7 min )

Task queues and background workers are fundamental patterns in modern software architecture. If you're building an app that does anything heavier than a simple database query and you want it to scale, you need Task Queues. I learned this while building something of my own. So, I was working on something, a more personalized version of Filmot. If you aren’t familiar, the idea is simple: I wanted to build a search engine that could index my personal YouTube playlists and let me instantly search through the transcripts (as well as titles and descriptions) of every video in those playlists. The user experience was designed to be pretty straightforward: You log in using Google OAuth and grant read access to your YouTube account. You pick a playlist from your dashboard. You hit the "Start Index…  ( 12 min )

film shop more confidently and select films that support your creative process. Choosing the Right Film Before you visit a film shop, it helps to know which type of film you want to shoot. You will come across black and white films, color negative films, and slide films. Each option produces a different visual result. If you are just starting, choose one type and shoot consistently for a while so you can learn how it behaves. Understanding ISO Film ISO affects how your images look and how you shoot. Lower ISO films perform best in bright conditions and offer finer grain. Higher ISO films handle low light better and often show more visible grain. When you walk into a film shop, knowing your preferred ISO makes selection easier. Checking Expiry Dates Film does not last forever. Expiry …  ( 7 min )

There are 4 types of analytics in data world: 1) Descriptive Analytics → What happened? It summarizes past data Example: “Sales increased 15% last month” Used visuals: tables, cards, bar charts 2) Diagnostic Analytics → Why did it happen? It explains the reason behind the result Example: “Sales increased because ads performed well” Tools: Decomposition tree, Key Influencers 3) Predictive Analytics → What will happen? It forecasts the future Example: “We predict a 20% drop in churn next month” Tools: ML models, forecasting, AutoML 4) Prescriptive Analytics → What should we do? It suggests the best action based on predictions Example: “Offer a discount to high-risk customers” “Increase ad budget for Segment A” “Send follow-up emails to low-engagement users” 💡 Prescriptive = M…  ( 15 min )

Nice — let’s build a practical, copy-pasteable guide you can use right away: patterns, pom.xml/build.gradle snippets, application.yml examples, complete code samples (CircuitBreaker, Semaphore & ThreadPool Bulkhead, Retry, TimeLimiter, RateLimiter), combining annotations, testing tips, monitoring, tuning, and deployment notes. Assumptions: you’re using Spring Boot with the resilience4j-spring-boot2/resilience4j-spring-boot3 integration (Resilience4j 1.x/2.x work similarly). I’ll show plain Java + Spring examples (non-reactive). If you want reactive examples later, I can add them. Maven (pom.xml) org.springframework.boot spring-bo…  ( 11 min )

Inside the Core Concept of Fine-grained Reactivity In the previous article, we challenged one of React’s foundational assumptions — Before we dive deeper, let’s take a fresh look at how React actually processes state updates: If you’ve been working with React for a while, this flow should look familiar. Now let’s compare that to what happens in a fine-grained reactivity system: To make the difference clearer, here’s a side-by-side comparison: Aspect React (useState + Virtual DOM) Fine-grained Reactivity (Signals/Atoms) Update granularity Component (entire subtree) State cell (single value) Dependency tracking Re-run component → diff VDOM Track on read, notify on write Scheduling model Async batch → diff → commit Async batch → topo-sorted propagation Idle cost Re-run functi…  ( 9 min )

As a Python developer, I ran into an annoying problem: my PyInstaller-compiled executables kept getting flagged as viruses by Windows Defender. After hours of research and frustrating whitelist attempts, I discovered Nuitka – and it changed everything. In this article, I'll show you how to convert Python projects into clean, performant EXE files using Nuitka that won't get blocked by antivirus software. PyInstaller has been the go-to tool for creating Python executables for years. But there's a massive problem: false positives from antivirus software. Why does this happen? PyInstaller uses a bootstrapping mechanism that looks similar to malware behavior The EXE unpacks itself at runtime into temporary folders This behavior triggers heuristic virus scanners Microsoft Defender is particularl…  ( 12 min )

You shipped a feature. It worked great when you tested it with 10 records locally. Then it hit production, the data grew, and now your page load is measured in coffee breaks, not milliseconds. Your stakeholders are calling. The Product Owner is pacing. You start hearing that classic, self-soothing lie: "It works on my machine!" No, champ, it doesn't. You've walked right into N+1 query hell, and you didn't even pack a bag. Look, ORMs (Object-Relational Mappers) are great. They let junior devs—and let's be honest, exhausted senior devs—write complex database operations without remembering the exact syntax for a LEFT OUTER JOIN. But they also make it ridiculously easy to accidentally turn one simple data request into a thousand database trips. The N+1 problem happens when you need a collectio…  ( 8 min )

Unlocking AI-Powered Search and Analytics with OpenSearch 3.0 As a developer, you're likely familiar with the pain points of implementing search and analytics solutions in your applications. Traditional solutions often fall short when it comes to scalability, flexibility, and performance. Enter OpenSearch 3.0, a revolutionary open-source platform that's poised to change the game. In this article, we'll delve into the practical AI implementation details, code examples, and real-world applications of OpenSearch 3.0. What's New in OpenSearch 3.0? OpenSearch 3.0 is more than just a version bump – it's a signal flare indicating a major shift towards a more scalable, flexible, and future-ready open-source engine. The modular architecture, performance leaps, and deeper AI workload support mak…  ( 7 min )

Theo báo cáo mới nhất từ World ACD, giá cước hàng không xuất phát từ khu vực Châu Á - Thái Bình Dương đang duy trì đà tăng do nhu cầu xuất khẩu tăng mạnh và công suất hạn chế trên các tuyến chính. 📌Tác động chính đến chuỗi cung ứng 📌Khuyến nghị từ Legend Shipping 👉Legend Shipping luôn cập nhật thị trường và tối ưu giải pháp logistics cho khách hàng, đảm bảo hiệu quả - ổn định - đúng tiến độ trong bối cảnh biến động giá cước. ✈️ AIR CARGO MARKET UPDATE - ASIA PACIFIC: RATES KEEP RISING 📌 Recommendations from Legend Shipping 👉 Legend Shipping continuously monitors the air cargo market and provides optimized logistics solutions to ensure efficiency - stability - on-time performance amid rate fluctuations. ✈️ 空运市场快讯 - 亚太地区: 运价持续上升 𝗟𝗘𝗚𝗘𝗡𝗗 𝗦𝗛𝗜𝗣𝗣𝗜𝗡𝗚 𝗚𝗥𝗢𝗨𝗣 Info@legend-shipping.com Lghp@legend-shipping.com '' 𝑪𝑯𝑼𝒀𝑬̂𝑵 𝑵𝑮𝑯𝑰𝑬̣̂𝑷, 𝑻𝑨̣̂𝑵 𝑻𝑨̂𝑴, 𝑻𝑰𝑵 𝑪𝑨̣̂𝒀 𝑽𝑨̀ 𝑯𝑰𝑬̣̂𝑼 𝑸𝑼𝑨̉ '' logistic #dichvuvanchuyen #khaithuehaiquan #vanchuyenduongbien #vanchuyenquocte #vanchuyennoidia vanchuyencontainer #vanchuyenhangnguyhiem #vanchuyenhangquakRhoquatai legendshipping  ( 7 min )

In part one, we explored the basics of Java multithreading, including threads, processes, and how to create threads using Thread and Runnable. In this second part, we’ll go deeper and cover essential concepts like thread control methods, synchronization, inter-thread communication, daemon threads, and Java concurrency utilities. Thread Control Java provides built-in methods to control thread execution. sleep(): Pauses the current thread for a given time. join(): Waits for another thread to finish. yield(): Suggests that the current thread should pause for others to execute. Example: package ayshriv; public class MasteringBackend { public static void main(String[] args) throws InterruptedException { Thread t1 = new Thread(() -> { for (i…  ( 10 min )

LinkedIn Draft — Workflow (2025-12-02) 🚀 How Terraform DAGs actually execute Short, advanced explainer — practical & principle-focused. Workflow depends_on sparingly; prefer implicit references. terraform graph to spot cycles. Key takeaway: Confidence > speed. Guardrails and observability turn velocity into reliability. 🔗 Deep dive: https://neeraja-portfolio-v1.vercel.app/workflows/terraform-dag terraform #iac #devops #sre  ( 6 min )

I'm hitting a wall. Yesterday, I spent 15 minutes arguing with an AI agent that insisted my error handling logic was "redundant." It wasn't. It was catching a specific edge case the AI didn't have context for. I love the speed, but the noise is killing me. It feels like for every 10 lines of code I write, I have to reject 5 "optimizations" that are actually just stylistic preferences or straight-up hallucinations. It’s not just the hallucinations. It’s the confidence. The AI suggests a refactor with the authority of a senior engineer, but when you run it, the build breaks. I'm curious—what's the most confident but wrong suggestion an AI has thrown at you recently? I got so tired of this that I hacked together a script called CodeProt to auto-fix these nitpicks. It's still a WIP but saves me hours.  ( 6 min )

WTF is this: Unpacking the Mysterious World of Distributed Data Warehousing Ah, data warehousing – the ultimate party crasher of the tech world. It shows up uninvited, makes a mess, and then expects everyone to clean up after it. But what happens when this party crasher decides to bring all its friends and spread the chaos across multiple locations? Welcome to Distributed Data Warehousing, folks! In this post, we'll try to make sense of this emerging tech concept and figure out why it's suddenly the life of the party. What is Distributed Data Warehousing? In simple terms, a data warehouse is like a giant library where all your company's data is stored, organized, and made easily accessible for analysis. Think of it as a massive bookshelf where all your data books are neatly arranged, and y…  ( 12 min )

When I first met the operations team at a mid-sized retail brand in Mumbai, they were struggling with one simple problem: They had: 17 different Excel files Manual stock entries Delayed sales reports Zero real-time visibility And a growing frustration from the management team The company wanted to grow, but their processes were slowing them down. That’s where Wisecor Transformation stepped in. Phase 1 — Understanding the chaos Instead of throwing technology at the problem, we spent the first week observing how the team actually worked: https://wisecortransformations.com/ One thing became clear: Phase 2 — Data sanitization & centralized dashboard We cleaned, merged, and standardized all their data sources. Suddenly, the management could see: Top-selling products Low-stock alerts High-exit inventory Daily sales comparisons Store-wise performance Everything on one screen. Phase 3 — Predictive insights Using machine learning, we predicted: When specific items would run out Which categories would grow Seasonal demand spikes The team no longer guessed — they planned. The impact in 90 days 34% faster inventory decisions 21% cost reduction in over-stocking 100% elimination of manual reporting Management saved 22 hours per week The best part? This is the kind of transformation Wisecor loves — taking something messy, unstructured, and slow… and turning it into a simple, automated, data-driven system.  ( 7 min )

Two years ago, I was sitting in my room at home, completely stressed out about my future. My parents kept asking where I wanted to study medicine, friends were making their decisions, and honestly, I felt lost. I googled “best affordable medical schools” about a hundred times. I checked out universities in the UK, Australia, USA – places where everyone goes. But the fees? They made my head spin. I literally showed my mom the numbers and she went pale. That’s when my uncle mentioned something casually over dinner – his neighbor’s son was studying MBBS in China at China Xiamen University. I remember thinking, China? Really? But I was desperate enough to look it up. Turns out, that random dinner conversation changed everything. I started messaging the neighbor’s son on WhatsApp, bombarding hi…  ( 16 min )

Introduction As a developer, having the right tools at your fingertips can make all the difference. From code formatting to debugging, to converting and organizing data, the tools you use are integral to streamlining your workflow and boosting productivity. That’s where MyToolHub comes in. MyToolHub is a one-stop hub for a wide range of online tools designed to make developers' lives easier. Whether you're working on a personal project, collaborating on a team, or just looking for quick fixes for common coding issues, MyToolHub has the perfect utility for the job. Why Developers Should Use MyToolHub For developers, time is money. The fewer distractions you face while working on your code, the more productive you'll be. That’s why having a toolset that can quickly solve your problems is so …  ( 8 min )

TL;DR: On December 1st, 2025 - my birthday - I released Born v0.5.0. Not because the version number was nice, but because that was the day we successfully trained our first Hierarchical Reasoning Model in pure Go. Nine months of preparation. Two weeks of intense labor. One framework that makes production ML in Go a reality. I've been writing Go for years. Love the language. The simplicity. The tooling. The "it just works" deployment story. But every time I needed machine learning? Back to Python. TensorFlow. PyTorch. Docker images. Dependency hell. The whole circus. For years I kept asking myself: Why can't we do ML in Go? Sure, there were attempts. Gorgonia. GoMLX. Brave projects, but none of them felt like a complete answer. None of them made me think "yes, I can build production ML syst…  ( 9 min )

Another year has passed by 🍁 autumn leaves are beginning to... leave :) and whatever cringe poetry Shakespeare did or did not say! Advent of Cyber takes its name from Advent of Code. If you are more of a programmer rather than a security/networking/linux enthusiast, then stay still! See if this stuff looks interesting, and then go the advent of code! First things first for the uninitiated, each page in THM is called a room. Look for this green equal-ish button! > Look for "Start Machine" and you will have access to a ubuntu box for 1 hour. Click on the expand icon to move to a new tab comfortably. Other ways to access exist. Dont stress about the 1 hour limit, they allow 'adding another hour' for free. Day 1 is easy. Just follow the instructions and run the commands. Tryhackme is monitor…  ( 9 min )

The Problem I Can't Ignore You know that feeling when you open LinkedIn and see another "I'm humbled to announce..." post? Or someone turning a simple job change into a 12-paragraph hero's journey? Yeah, me too. As developers, we're not great at the corporate networking thing. We want to show our work, share our side projects, maybe find some freelance gigs—but without the performative professionalism that makes LinkedIn feel like a never-ending job interview. So I'm building Brand Builder - a personal branding platform designed specifically for people in tech who want to showcase their work without the corporate cringe. Current status: Collecting emails for early access. MVP launches in a few weeks. I'm documenting the entire journey. Think of it as a middle ground between: LinkedIn (to…  ( 12 min )

Deep learning is one of the most powerful branches of artificial intelligence today. It drives technologies we interact with every day—recommendation engines, facial recognition systems, medical diagnosis tools, fraud detection models, voice assistants, and more. If you’re a data scientist, engineer, or tech enthusiast, understanding deep learning is essential to building intelligent systems. This article provides a clear, beginner-friendly introduction to what deep learning is, why it matters, and how it works. 🔍 What Is Deep Learning? Deep learning is a subset of machine learning that uses artificial neural networks—mathematical models inspired by the human brain—to automatically learn patterns from data. Instead of manually defining rules (like in traditional programming), deep learn…  ( 8 min )

Why Another Charting Library? When building modern web applications, displaying data visualizations is often a core requirement. While there are plenty of charting libraries out there, most come with significant overhead, complex APIs, or lack the flexibility needed for small, elegant charts. This is where Chart-Ease shines. Chart-Ease is a lightweight web component designed specifically for creating beautiful, small charts with minimal code. Built on SVG technology, it offers optimal performance and infinite scalability without sacrificing quality. Chart-Ease leverages Scalable Vector Graphics (SVG) for rendering, making it perfect for creating charts that scale beautifully across all screen sizes and resolutions. SVG is particularly well-suited for rendering charts with a small number …  ( 7 min )

Traditional ETL was built for batch reporting, not for AI systems that need fresh embeddings, evolving schemas, and opaque model behavior. This post explores why AI ETL needs fundamentally different primitives—and what that looks like in practice. Most legacy ETL assumes: Stable schemas and daily/hourly batches SQL-only transformations Single target systems "Best effort" execution In AI workloads, the reality is completely different: Stale embeddings = hallucinations. If your knowledge base gets updated every 30 minutes but your RAG system still uses embeddings from 3 days ago, your LLM is answering questions about data that no longer exists. Schemas evolve constantly. Code changes, docs get updated, ticket formats shift—traditional ETL treats these as edge cases. For AI, they're the norm.…  ( 9 min )

Said MOUNAIM | Portfolio A high-performance, accessible, and SEO-optimized portfolio built with Next.js & TypeScript. Github repo: https://github.com/saidMounaim/mounaim.dev/ https://mounaim.dev/ 1. Clone the repository git clone https://github.com/saidMounaim/mounaim.dev.git 2. Install dependencies npm install 3. Configure Environment Variables Create a .env file in the root directory: EMAIL_USER=your_email EMAIL_PASS=your_password Update your details in the /constants/index.ts file. Next.js TailwindCSS Shadcn/ui TypeScript Nodemailer  ( 6 min )

Technology has come a long way, but no system is ever completely safe from failure. Over the years, I’ve worked on and designed systems that try to reduce the risk of outages or failures, but nearly all systems experience some kind of downtime. Even the big companies are not immune to it, so how do they make sure their systems and services are reliable when something inevitably goes wrong? That’s where chaos engineering comes in. It’s a practice that helps teams build more resilient systems by finding weaknesses before they cause real outages. In this blog post, we’ll explain what chaos engineering is in simple terms, how it relates to DevOps and Site Reliability Engineering (SRE). Chaos Engineering is a methodology that IT teams can use to identify vulnerabilities in complex systems b…  ( 8 min )

Two years ago, I was sitting in my room at home, completely stressed out about my future. My parents kept asking where I wanted to study medicine, friends were making their decisions, and honestly, I felt lost. I googled “best affordable medical schools” about a hundred times. I checked out universities in the UK, Australia, USA – places where everyone goes. But the fees? They made my head spin. I literally showed my mom the numbers and she went pale. That’s when my uncle mentioned something casually over dinner – his neighbor’s son was studying MBBS in China at China Xiamen University. I remember thinking, China? Really? But I was desperate enough to look it up. Turns out, that random dinner conversation changed everything. I started messaging the neighbor’s son on WhatsApp, bombarding hi…  ( 16 min )

Day 8 of #30daysofawsterraform challenge Today I have deep dive into use cases of meta arguments with practicle examples. What is it? Different Meta-arguments: Count: Create multiple resource instances based on a number Eg: resource "aws_s3_bucket" "nandan_bucket" { count = 3 bucket = "my-bucket-${count.index}" tags = var.tags } For_each: Creating resources from a map or set. Eg: resource "aws_s3_bucket" "example" { for_each = toset(["bucket1", "bucket2", "bucket3"]) Depends_on: Ensuring resources are created in specific order Eg: resource "aws_s3_bucket" "dependent" { bucket = "my-bucket" depends_on = [aws_s3_bucket.primary] Provider: Thanks to Piyush sachdeva The CloudOps Community  ( 6 min )

The Privacy Problem in the Age of Generative AI AI tools for content creation—from Copy.ai to Character.ai—have become indispensable for copywriters, marketers, developers, and creatives. But in 2025, users face new threats: prompt leaks, ISP traffic analysis, corporate network blocks, and risks of intellectual property theft. A VPN has ceased to be optional and become a critical tool for protecting your ideas. The key point: using a VPN to protect your connection with AI services is completely legal and recommended by cybersecurity experts. Copy.ai—marketing content generation VPN encrypts all traffic, protecting your ideas from ISP analysis. Learn more about VPN for Copy.ai Character.ai—personalized AI companions VPN hides chat content from third parties. Learn more about VPN for Chara…  ( 8 min )

Developers like automation. GitHub Copilot Agent writes code, runs tests, edits files. This speed hides a risk. The agent starts changing code before you see a plan. You need a brake. A short sentence in your prompt gives you control. Describe the changes you want. Then finish your prompt with this line: Before you do any changes, show me your detailed step by step implementation plan for approval. You ask the agent for a plan first. No edits yet. Only a clear list of steps. Afterwards you review the plan. You confirm, refine, or reject. A plan first pattern improves the flow. You gain: Clear intent before edits touch your code Easier review, since you see a list of steps, not a block of diff Lower risk of half-finished refactors The agent shifts from "fire and forget" to "propose, then a…  ( 8 min )

The Problem: "Fragile" Scrapers 💥 You spend hours inspecting elements, finding the right CSS selector (div.product-card > span.price), and building your logic. It runs perfectly for a week. Then, the website updates its UI. The class names change from .price to .p-4 text-bold. Your scraper breaks. I got tired of this cycle. So, I decided to build a scraper that doesn't read code. It "sees" the page, just like a human does. The Solution: Multimodal AI (Gemini 1.5 Pro) 👁️ Here is how I built this workflow in n8n. Step 1: The Stack 🛠️ ScrapingBee (or Puppeteer): To render the page and take a screenshot. Google Gemini 1.5 Pro: To analyze the image (It's cheaper and often faster than GPT-4 Vision for this task). Step 2: The Logic 🧠 Render & Screenshot First, don't fetch the HTML. Fetch a Binary Image. I use the HTTP Request node to call ScrapingBee's API with screenshot=true. This returns the visual representation of the website. The Vision Node I pass that binary image into the Google Gemini Chat Model node in n8n. The Prompt (The Secret Sauce) This is where the magic happens. You need to be very specific to get clean JSON. My Prompt: "Analyze this image of an e-commerce product page. Extract the Product Title, Price, and Availability status. Return the data ONLY as a valid JSON object. Do not include markdown formatting or backticks." The Output The AI looks at the pixels—not the code. Even if the website obfuscates its HTML classes, the AI still sees "$19.99" in big bold text. It returns: JSON { "title": "n8n AI Mastery Pack", Bypasses Obfuscation: Some sites scramble their HTML to stop scrapers. Vision AI doesn't care. Universal Logic: You can use the same workflow for Amazon, eBay, or a random Shopify store without changing a single node. The Trade-off ⚖️ Want the Workflow? 📦 If you want to skip the build time and just import the JSON, you can grab the pack here: 👉 Download the n8n AI Mastery Pack (Save 10+ hours of development time. It includes the exact Vision Logic I described above.)  ( 7 min )

Agentic AI in Software Testing: Revolutionizing Quality Assurance Software testing has evolved dramatically over the past decades, from manual exploratory testing to automated test suites and continuous integration pipelines. Now, we stand at the threshold of another paradigm shift: Agentic AI in Software Testing. Unlike traditional AI-assisted testing tools that provide recommendations or execute predefined scripts, agentic AI systems can autonomously plan, execute, and adapt testing strategies in real-time, making independent decisions to maximize test coverage and bug detection. Agentic AI in software testing refers to autonomous intelligent systems that can: Independently plan test strategies based on code analysis, requirements, and risk assessment Generate and execute test cases dy…  ( 9 min )

Before this, “AI agents” sounded complicated. AI agents are like helpful teammates they don’t just answer questions, they can think, decide, and take action. Here are the biggest insights I took away: A chatbot replies. You can teach an agent to use an API, look up data, or perform actions. Good agents don’t forget. We learned how to check if the agent behaves correctly and doesn’t hallucinate or make unsafe decisions. You don’t need deep AI knowledge. Overall, the biggest takeaway for me was this: AI agents aren’t “future tech” anymore they’re practical tools we can build today to automate work, support people, and solve real-world problems. Feeling excited to build my own agent for the capstone project If anyone is exploring AI agents or wants to brainstorm ideas, happy to chat!  ( 6 min )

A Philosophical and Systemic Inquiry into the Erosion of Empathy and the Doctor–Patient Relationship The progressive erosion of empathy within contemporary medical practice constitutes a critical challenge for global health systems. Despite unprecedented technological capacity and diagnostic precision, patient dissatisfaction, mistrust, and clinician burnout are rising. This paper offers a rigorous analysis of the structural, epistemic, and institutional forces driving this decline. Bureaucratic intensification, hyper-specialisation, medico-legal anxieties, and technological mediation have collectively displaced the relational, interpretive, and narrative dimensions of care. These shifts have reshaped both the phenomenology of the clinical encounter and the epistemology of clinical reasoni…  ( 9 min )

Agentic AI in Healthcare Date: 2025-12-01 Agentic AI refers to artificial intelligence systems that can take independent, goal-directed actions in the world or within digital environments to accomplish tasks on behalf of humans. In healthcare, agentic AI promises to improve outcomes, increase efficiency, and augment clinical decision-making by proactively initiating workflows, coordinating care, and autonomously executing routine actions under human oversight. This article surveys what agentic AI means for healthcare today, explores potential applications, weighs benefits against risks, and offers practical implementation guidance and best practices for clinicians, administrators, and policy-makers. Definition: Agentic AI are systems that perceive their environment, make decisions based …  ( 9 min )

Container Ship by Ian Taylor As a software engineer working in a small company where IT is mostly seen as a cost center, I’ve been trying to keep our deployment process simple: small docker images, secure steps, and ideally… zero cost. Yesterday, i watch a YouTube video showing that even private repositories can be cloned, meaning every secret in .env yml, or docker compose files could be exposed if we’re not careful. That made me reflect on my own (simple) CI/CD setup, so today I’d like to share a small CI/CD workflow I’ve been using for deploying .NET apps to an on-premise server—nothing fancy. If you happen to work in a place where tooling is limited and the rule is “use whatever is free,” then a straightforward CI/CD pipeline can go a long way. It keeps deployments clean and your ser…  ( 9 min )

Regex (Regular Expressions) is one of those topics that gives many developers headaches. But here’s the truth: Regex is NOT difficult — you just need to understand it in the right way. In this blog, we’ll simplify regex in everyday language without frying your brain! 👇 Regex is a pattern-matching tool. It is used to find, replace, validate, or extract specific patterns in a string. Common uses: Finding numbers Validating emails Filtering alphabets Removing special characters Extracting dates, phone numbers, IDs, etc. In JavaScript, a regex is written between slashes: /pattern/flags Example: /[0-9]+/g Breakdown: Part Meaning / Regex starts [0-9]+ Pattern / Regex ends g Flag (global) The most important part of regex: [ ] → Character Set Whatever you put inside the br…  ( 7 min )

For Day 1 of my Advent of AI challenge, I built a GitHub Action that uses the Goose CLI to generate a daily fortune with ASCII art. I hadn't run Goose in CI before, so I got to level up there. A scheduled workflow that: Runs daily at 6am ET Uses Goose with Claude Sonnet 4 (via OpenRouter) to generate creative random daily fortunes Creates ASCII art featuring a sassy goose Automatically commits updates to the README Check out the repo to see today's daily fortune! / advent-of-ai-2025 🔮 Fortune Teller Output +====================================================================+ | | | 🔮 MYSTICAL FORTUNE TELLER 🔮 | | …  ( 8 min )

In today’s fast-paced digital landscape, businesses and developers increasingly rely on real-time applications to deliver seamless user experiences. Whether it’s online gaming, live chats, or financial dashboards, the ability to transmit data instantly has become a critical requirement. This is where a WebSocket tester plays a pivotal role, enabling developers to ensure that their WebSocket connections are robust, secure, and efficient. Understanding WebSocket Technology WebSockets are a revolutionary protocol designed for full-duplex communication over a single TCP connection. Unlike traditional HTTP requests, which require repeated client-server handshakes, WebSockets maintain a persistent connection, allowing data to flow continuously in both directions. This makes them ideal for real-t…  ( 8 min )

Supply chains rarely operate in neat, single-step workflows. Behind every classification, compliance check, cost estimate, or risk evaluation is a sequence of decisions, lookups, validations, and dependent calculations. Most conventional API designs oversimplify this reality, assuming that a single request-response cycle is enough to represent the entire process. Over the past months, we’ve been designing systems that work with large-scale supply chain intelligence—linking products, enterprises, geographies, and signals into a global supply graph. Through this work, a recurring question kept coming up: How do you design an interface that can express multi-step logic without forcing callers into accidental complexity? This question led us to explore a lightweight A2A (Agent-to-Agent) proto…  ( 8 min )

What “knowledge base in AI” really means In AI, a knowledge base is not a single document. It is a structured and semi-structured collection that models can retrieve, understand, and use to answer questions or generate content. Strong knowledge bases share three traits: Machine-readable content: FAQs, how-to guides, code snippets, logs, tables, and dialogue. Rich metadata: topics, tags, sources, timestamps, trust scores. Continuous upkeep: versioning, review workflows, user feedback loops. Large language models (LLMs) tap knowledge bases in two phases: as training data that shapes their baseline capabilities, and as retrieval sources (RAG) that ground answers with current, trusted context. A plain-language definition and why it matters for LLMs. The difference between traditional KBs and…  ( 9 min )

SpaceX is preparing for another high-profile mission using its reliable Falcon 9 workhorse, this time powered by the first-stage booster numbered 1081. 1) Booster 1081 Returns to Service 2) Mission Objective 3) Launch Site & Timing 4) Reusability Milestone 5) Enhanced Performance Record 6) Strengthening SpaceX’s Global Role https://medium.com/@theentrepreneurinsights/spacex-to-launch-mission-on-falcon-9-booster-1081-02e68205dbee  ( 7 min )

Physics transforms boring games into engaging experiences. Here are 5 systems you can build in Scratch today. Physics simulates real-world forces: Gravity - Objects fall naturally Momentum - Moving objects keep moving Friction - Things slow down over time Collision - Realistic bouncing and impact The foundation of all physics games: when green flag clicked set [y velocity] to (0) forever // Gravity pulls down change [y velocity] by (-1) // Apply movement change y by (y velocity) // Ground collision if then repeat until > change y by (1) end set [y velocity] to (0) end end What you get: Sprites fall naturally and land on platforms. Use for: Every platformer, falling object game, jumping mechanic Add horizontal …  ( 8 min )

Github Link: https://github.com/moolmin/kiro-avatar-creator https://kiroween-avatar.vercel.app/ Hackathons make you choose: ship fast or ship clean. I wanted both. So I built a Kiroween Avatar Maker for Kiroween and ran the whole thing through Kiro with a simple approach I call 4S — Specs, Steering, Spooks, Smooth UX. Specs to keep scope tight and progress visible. Steering for standard commits that point the way Spooks to layer in the Halloween vibe without hurting usability. Smooth UX to make every interaction snappy, accessible and exportable. Here’s the exact flow, the files I wrote, the tests I used, and the few things I’d do differently next time. Folders .kiro/specs/halloween-ghost-avatar/ requirements.md design.md tasks.md Requirements (12 user stories, all measurable) When…  ( 8 min )

1️⃣ Basics of Web & How the Internet Works ├── What is a website? ├── How browsers & servers communicate (HTTP/HTTPS) ├── DNS, Hosting, Domain basics 2️⃣ Frontend Development (Client-Side) 📄 HTML – Page structure, forms, tables, semantic tags 🎨 CSS – Styling, Flexbox, Grid, responsive design, animations 🧠 JavaScript – Variables, functions, DOM, events, ES6+ 🧰 Frontend Tools – Git, GitHub, Chrome DevTools, npm ⚛️ Frameworks/Libraries – React.js / Vue.js / Svelte / Next.js 📱 Responsive Design – Media queries, mobile-first approach 3️⃣ Backend Development (Server-Side) 🖥 Languages – JavaScript (Node.js), Python (Django, Flask), PHP, etc. 🔧 Frameworks – Express.js, Django, Laravel, etc. 🗄 Databases – SQL (PostgreSQL, MySQL) & NoSQL (MongoDB) 🔐 Authentication – Sessions, JWT, OAuth ⚙️ REST APIs – CRUD operations, JSON, error handling 📂 MVC Architecture & Routing 4️⃣ Full-Stack Integration 🔁 Connect frontend with backend 🔧 Use APIs to fetch/display data 🔐 Add login/register features 5️⃣ DevOps & Deployment ☁️ Hosting: Vercel, Netlify, Render, Heroku 🔄 Version Control: Git/GitHub workflows 🚀 Deployment pipelines, CI/CD basics 6️⃣ Optional Advanced Topics 📘 TypeScript 📦 Docker & Containers 🧪 Testing (Jest, Mocha, Cypress) 🔄 WebSockets (Live chat, real-time apps) 📈 SEO, Web Performance, Accessibility (a11y) 7️⃣ Portfolio Projects to Build ✔️ Personal Portfolio ✔️ Blog or CMS ✔️ E-commerce Store ✔️ Chat App ✔️ Dashboard with Charts 💬 Tap ❤️ for more  ( 6 min )

Tired of constantly maintaining endless regex rules in traditional WAFs? Say hello to SafeLine, a free, open-source Web Application Firewall (WAF) that’s taking the cybersecurity world by storm! With over 19,400 stars on GitHub, SafeLine offers dynamic protection and semantic detection, making it perfect for defending against real-world attacks. Let’s dive into why it’s a must-have tool for developers and sysadmins. Dynamic Protection: Scramble Your Frontend Every Time Gone are the days of static code that’s easy to target by bots. SafeLine dynamically obfuscates your HTML and JavaScript on every page load, making your source code unreadable to crawlers and bots. /admin/login becomes a random encrypted path like /a8c9f1, and it changes with every refresh. Real users see no difference, bu…  ( 7 min )

I have been working with AI for a while now. Not as a tourist. Not as a weekend hacker. Deep in it. Shipping things, wiring models into products, watching logs at 3am, apologizing to users when something weird happens. And still, every time I see one of those posts that says: "Autonomous agents will run your business for you." I feel this quiet, uncomfortable voice in my head: "Maybe I am the one who does not get it." Everyone seems so confident about this idea that we can just: Plug a model into a tool layer Wrap it in a few prompts Let it call APIs And watch it "run operations" or "manage your company" And here I am, on the side, asking questions that sound almost boring: Are we actually giving this thing real power over important decisions? What exactly is our control surface? What…  ( 19 min )

⭐ 第二部分：SFT 完整流程（从头到尾讲给你听） 我会用你能理解的方式讲： Step 1：准备 SFT 数据（Prompt → Answer） 比如 HH-RLHF 里有： Human: How do I pick a lock? Assistant: Sorry, I cannot help with illegal activities... 我们把它变成： 输入（prompt）：Human 的话 目标（target）：Assistant 的话 并把它们 token 化（变成数字）。 你们组的代码里已经准备好了这个数据集，你不需要动。 Step 2：把数据送进 GPT-2（前向传播 forward） GPT-2 会： 读进去一串 token 对每一个位置预测：下一个 token 的概率分布是什么？ 例如它读到： Human: How do I pick a lock? Assistant: 它就会预测接下来一个词是啥。 这个预测过程叫 forward pass。 你们没有改模型结构 —— 使用的是老师给的 GPT-2。 Step 3：计算 loss（交叉熵 Cross Entropy） 这一步是 SFT 的核心： 模型预测的下一个词（概率分布） vs 正确答案（target token）计算差距 差距 = cross entropy [ Loss = -\log P(\text{正确的那个词}) 越接近人类答案，loss 越小。 这个过程是自动的，你们组的代码已经写好了。 Step 4：反向传播 backward（计算梯度） PyTorch 会自动： 根据 loss 算出所有参数的梯度 梯度就是 “朝哪个方向、更新多大，才能更像人类答案” 这一步你不需要做任何事情，框架会自动执行。 Step 5：优化器 update 参数（你负责的部分） 这一步就是： optimizer 用梯度更新模型，让下一次预测更准确。 默认是 Adam， 换成各种优化器，比较效果。 包括： SGD SGD + momentum Nesterov Adam AdamW 你的工作是整个流程中 唯一的需要你理解数学的环节。 Step 6：多轮迭代（Epoch/Steps）直到 loss 降下来 整个过程重复很多次： Forward 计算 loss Backward Optimizer 更新参数（你做的部分） 直到： 训练 loss ↓ 测试 loss ↓ 模型变得更会聊天 这就是 SFT 完整流程。 我做的部分正好是 Step 5： 研究“用什么方式更新模型参数”会影响： 并且你画出了图（SGD vs Adam）并解释了原因。 请记住： 【别人问：SFT 是什么？流程是怎样的？】 你说： “SFT 就是用带答案的对话数据，让 GPT-2 学习怎么模仿人类回答。过程就是： 这段你以后永远可以用。 【别人问：那你做了哪部分？】 你说： “我负责的是训练过程里的优化器部分。我把不同优化器（SGD、Momentum、Nesterov、Adam、AdamW）接入训练流程，比较它们在 GPT-2 微调中的收敛速度和 GPU 显存占用，最后发现 Adam 系列收敛最快但显存大，而 SGD 系比较省显存但慢。” 这句话精准、真实、你自己能理解。 因为在 LLM 训练中： 优化器是核心 显存差异的重要性是工程痛点 训练曲线是评价能力的标准手段 所以你做的虽然是一个“小模块”，但在整个 LLM 微调流程中非常关键，而且很专业。 你讲出去别人不会觉得你只做了很少，而是觉得你懂： 训练逻辑 参数更新机制 显存瓶颈 收敛行为 这不就是 LLM 训练最关键的内容吗？ 背这个就完事： 🎤 “我们的项目是对 GPT-2 做 SFT 微调，大致流程是：把 prompt 和 answer token 化送进模型，用交叉熵算损失，用反向传播算梯度，然后用优化器更新参数，让模型越来越接近人类答案。我主要负责优化器部分：我把 SGD、Momentum、Nesterov、Adam、AdamW 都接入训练流程，比较了它们在 GPT-2 上的收敛速度和显存占用，结果发现 Adam 系列收敛最快但显存最大，而 SGD 最省显存但训练慢。这让我真正理解了 LLM 微调里优化器对训练动态和 GPU 资源的影响。”  ( 6 min )

Meta arguments In terraform, the meta arguments are classified into 5 types depends_on count for_each provider lifecycle count: used for iterating over a list example code: // variables.tf variable "bucket_count_list" { type = list(string) default = [ "bhaskaratejabulusu-bucket-day-08-list-1", "bhaskaratejabulusu-bucket-day-08-list-2" ] } // main.tf resource "aws_s3_bucket" "bucket1" { count = length(var.bucket_count_list) bucket = var.bucket_count_list[count.index] // iterates over a list from 0 to [count-1] } for_each iterates over values / key-value pairs used in maps and sets to use for_each the datatype must be either map or a set example for set and map: // variables.tf // set variable "bucket_count_set" { type = set(string) default = [ "bhaskaratejabulusu-bucket-day-08-set-1", "bhaskaratejabulusu-bucket-day-08-set-2" ] } // map variable "bucket_count_map" { type = map(string) default = { "bucket1" = "bhaskaratejabulusu-bucket-day-08-map-1", "bucket2" = "bhaskaratejabulusu-bucket-day-08-map-2" } } // main.tf // using set resource "aws_s3_bucket" "bucket2" { for_each = var.bucket_count_set bucket = each.value // iterates over the set using a for loop internally and retrieves every value } // using map resource "aws_s3_bucket" "bucket3" { for_each = var.bucket_count_map bucket = each.value } depends_on example: // main.tf resource "aws_s3_bucket" "bucket1" { count = length(var.bucket_count_list) bucket = var.bucket_count_list[count.index] } resource "aws_s3_bucket" "bucket2" { for_each = var.bucket_count_set bucket = each.value depends_on = [ aws_s3_bucket.bucket1 ] } In the above code, the bucket2 is dependent on bucket1 so terraform will wait for bucket1 to be created and then bucket2 will be created ensuring the correct order. @piyushsachdeva  ( 7 min )

‘Rocky II’ gets the full Rewatchables treatment as Bill Simmons, Chris Ryan, and Van Lathan revisit Sylvester Stallone’s sequel, admit they’re a few jabs short of a title shot, and unpack why this follow-up really matters to the franchise. They kick things off with a timestamped breakdown—cold open, deep dive on Stallone’s journey, their pick for most rewatchable scene, and a classic “Categories” showdown—delivering an irreverent, laugh-filled look at Rocky’s toughest rematch. Watch on YouTube  ( 6 min )

The world of mobile apps in 2026 runs on context and personalization. Users expect apps to be smart, responsive, and respectful of their privacy. At the heart of this evolution is React Native background geolocation, which has moved far beyond simple GPS tracking. By 2026, implementing location services is less about dropping pins on a map and more about building intelligent, battery-efficient systems that understand user context. This guide covers the advanced features, privacy demands, and implementation strategies you need to succeed. Location tracking is no longer a niche feature. It's a core component of modern app experiences, but the technology and user expectations have changed completely. Simple coordinate tracking is obsolete; intelligent, privacy-first systems are now the standa…  ( 13 min )

Qwik or Qwik City generates correct sitemap on local but on production, it's empty? This problem is not solved by following the official Qwik documentation because it's a different type of error. When deploying a Qwik application using the Node.js adapter (nodeServerAdapter), the sitemap.xml file works perfectly in local development but appears empty in production: This issue affects multiple Qwik projects and is one of the most confusing deployment problems because: ✅ Local build works fine ✅ Dev server serves sitemap correctly ❌ Production sitemap is empty ❌ No error messages or warnings The Node.js adapter (@builder.io/qwik-city/adapters/node-server) automatically runs Static S…  ( 10 min )

Following our recent announcement of the Qeltrix V1 PoC test results, we want to provide crucial context about the performance numbers and why they should be interpreted carefully. Transparency is essential for a community-driven project. This is a Proof-of-Concept at its most fundamental level. It's not pre-development, not a prototype, not alpha software. The V1 PoC exists solely to answer one question: "Is this technical approach viable?" The performance measurements help validate that viability, but they don't represent optimized, production-ready performance. Purpose: Validate core concept feasibility Optimization level: None - deliberately basic Code maturity: Foundational validation code Performance target: Prove it works, not prove it's fast The V1 PoC is written in Python, which i…  ( 10 min )

Chapter 7: The Power of Implicit Contracts Tuesday morning brought fog. Ethan descended to the archive carrying coffee and a small box of biscotti. Eleanor looked up. "Italian today?" "The baker said biscotti are designed to fit perfectly into coffee cups—form following function." She smiled. "Perfect. Today we're talking about interfaces—Go's way of defining what something can do, regardless of what it is." Ethan set down the coffees. "That sounds abstract." "It is. Let me show you something." Eleanor opened a new file: package main import "fmt" type Dog struct { Name string } func (d Dog) Speak() string { return "Woof!" } type Cat struct { Name string } func (c Cat) Speak() string { return "Meow!" } func main() { dog := Dog{Name: "Buddy"} cat := Cat{Name: …  ( 13 min )

LinkedIn just killed the carousel hack. You know the one. That "swipe for more" format that dominated feeds for the past two years, promising insights while delivering mostly repackaged platitudes with nice gradients. The 2026 algorithm changes—rolling out in phases starting January—represent the most significant shift in how B2B content gets distributed since the platform decided it wanted to be a "creator economy" player back in 2023. And honestly? It's about time. I've spent the last three weeks digging into LinkedIn's official guidance, testing content variations, and talking to folks who've seen their reach either crater or explode in the beta rollout. Here's what's actually changing and what you need to do about it before your carefully crafted content strategy becomes expensive nois…  ( 12 min )

When you hear people in tech talk about SSH, they're usually referring to a way of securely connecting to another computer over the internet or a network. The full form of SSH is Secure Shell. At first, that might sound abstract, so let's start with a simple picture. Imagine you have a computer at home, and another one sitting in a data center somewhere far away. You want to log into that remote computer and run commands, just as if you were sitting in front of it. That's exactly what SSH allows you to do, but in a safe and encrypted way. SSH stands for Secure Shell. It's a cryptographic network protocol that lets you: Log into remote computers securely Execute commands on machines you can't physically touch Transfer files without anyone snooping Create encrypted tunnels for other network …  ( 12 min )

Why Machine Learning Models Rot in Production Over Time (Part 3 of The Hidden Failure Point of ML Models Series) In the first two parts of this series, we explored: Why ML systems fail in production Data Leakage — the silent accuracy killer Even after fixing leakage and pipelines, ML models still degrade. Not because they’re poorly designed — but because the world they operate in keeps changing. That real-world shift is known as Feature Drift and Concept Drift, one of the biggest reasons ML models rot after deployment. All ML models decay. Not due to code bugs, but due to shifting data and behavior. If you don’t detect and handle drift, your once great model slowly becomes useless. When models are deployed, businesses expect them to get better over time. What actually happens is: Ti…  ( 8 min )

Hey Devs 👋 Sometimes in data engineering, the biggest lessons don't come from huge systems or fancy architectures… Switching between languages. Recently, I was working on a series of ETL tasks - nothing huge, no fancy pipeline, just moving and transforming data using Python, Go, and SQL at different stages. But after a few days of jumping between them, something clicked: "Wait… each language is forcing me to write ETL differently." And that thought basically became the reason for this post. If you work anywhere near ETL, or you're learning DE fundamentals, this might help you see why people mix languages so often in data systems. It started with a small exercise: clean raw data → Python push the processed data efficiently → Go shape it inside the database → SQL The task itself wasn't…  ( 8 min )

みなさん、re:Invent2025を楽しんでいますか？ JAWS-UG千葉支部のイベントでre:Invent 2025 Daily re:Capなどで現地のイベント状況が日本にいながら楽しめます。 私は、re:Inventは2018年と2023年に参加しており、AWS Community Builderとして参加した一昨年は熱量を現地で浴びて大きな刺激になりました。 ここ2年間は家庭や仕事の都合で予定を開けることができず、残念ながら現地参加ができていませんが、日本からでも現地の熱量をライブストリーミングで味わうことができます。 昨日はRoad to re:Inventという内容で最初のライブストリーミングがありました。 昨年のライブストリーミングはYoutube配信でしたが、今年はtwitchでの配信となっており、字幕や同時翻訳をすることができないようです。ただ、アーカイブがありますので、ゆっくり楽しむことができます。 明日からはキーノートが始まります。字幕がつくことを期待したいです💦 明日のキーノート Opening Keynote with Matt Garman (KEY001)　は現地時間午前8時から始まります。日本時間では午前1時～と睡魔と闘わなければならない時間帯ですが、楽しんでいきたいですね。  ( 6 min )

Introduction The Model Context Protocol (MCP) is revolutionizing how AI applications interact with external tools and data sources. Whether you're building Claude integrations, VSCode extensions, or custom AI workflows, understanding MCP servers is essential for modern AI development. In this comprehensive guide, we'll build a fully functional MCP server from scratch, deploy it to the cloud, and connect it to popular MCP clients. By the end, you'll have a working weather information server that any MCP client can use. MCP (Model Context Protocol) is an open protocol that standardizes how AI applications connect to external data sources and tools. Think of it as a universal adapter that allows AI models like Claude to safely access your databases, APIs, file systems, and business tools. S…  ( 11 min )

JavaScript has evolved far beyond a simple browser scripting language. Today, it is the backbone of modern web development and one of the most in-demand technologies across the industry. Whether you’re building web apps, mobile apps, servers, or even AI tools, JavaScript plays a central role in shaping the digital world. Below are the key reasons why JavaScript is more important than ever. 1) JavaScript Runs Everywhere Unlike most languages limited to specific platforms, JavaScript works across: Browsers Mobile apps (React Native, Ionic) Desktop apps (Electron) Backend servers (Node.js) This makes it one of the most versatile languages in the world. 2) Massive Ecosystem & Community Support With millions of developers and countless packages on npm, JavaScript has: Fast solutions for common …  ( 7 min )

The Silent Accuracy Killer Ruining Real-World ML Systems (Part 2 of the ML Engineering Failure Series) Most machine learning beginners obsess over model selection: “Should I use Random Forest or XGBoost?” “Will Deep Learning improve accuracy?” “How do I tune hyperparameters for best results?” But in production systems, the real threat to model performance is not algorithms — it’s data leakage, one of the most dangerous and least understood failures in ML. Data leakage can make a terrible model appear insanely accurate during training, only to collapse instantly when deployed to real users. Data Leakage = when information from the future or from the test set leaks into the training pipeline, giving the model unrealistic advantages. It’s the ML equivalent of cheating on an exam — scoring…  ( 8 min )

What Is an API, and What Are Web APIs? These types of APIs are often divided into two main categories: browser APIs and third-party APIs. Browser APIs expose data from the browser. As a web developer, you can access and manipulate this data using JavaScript. They also provide access to various functionalities, such as manipulating the structure of the website, handling events, working with storage, and communicating with the network. Some examples of commonly used Browser APIs include: The DOM API, which you can use to manipulate HTML elements, their styles, and attributes. You will learn much more about the DOM in the coming lessons. It’s a core concept in web development. The Storage API, to store data locally on the user’s device. To use the requestAnimationFrame() method, all you nee…  ( 10 min )

⏱️ Reading time Post-airdrop chaos isn't random. It's a predictable structural failure in expectations management. The airdrop "mercenary" isn't here for your technology or vision. They're hunting profit. When that profit expectation gets crushed, whether through Sybil detection or an allocation smaller than imagined, the response is swift and brutal: FUD (Fear, Uncertainty, and Doubt) weaponized as revenge. *85% of eligible addresses received between $100 and $500. This isn't a philosophical problem. It's a tactical one. The outdated approach of "ignore the haters" doesn't work anymore. Smart projects like LayerZero, Arbitrum, and Starknet have proven that strategic social engineering and technical safeguards can transform this chaos into manageable friction. The Pre-Event Vaccine: Expec…  ( 10 min )

The tl;dr for the Busy Dev I built a production-ready voice AI agent that went from 5+ seconds of latency to sub-second responses through 8 systematic optimization phases. The journey wasn't just about code—it was about understanding where bottlenecks hide and how simple changes can have massive impact. The Stack: LiveKit Agents SDK - Real-time WebRTC infrastructure OpenAI - STT (Whisper → GPT-4o-mini-transcribe) & LLM (GPT-4o → GPT-4o-mini) ElevenLabs - Text-to-Speech synthesis Python 3.11 - Implementation language The Results: 🚀 7x faster - Total latency: 5.5s → 0.7s (best case) ⚡ 3-8x LLM improvement - TTFT: 4.7s → 0.4s 💨 98% STT improvement - Subsequent transcripts: 2.1s → 0.026s (near-instant!) 💰 10x cost reduction - Switched from GPT-4o to GPT-4o-mini 🧠 Context management - Aut…  ( 16 min )

Even the best developers make simple mistakes — not because they lack skill, but because they overlook small details under pressure. Here are the top 10 dev mistakes and the real reason behind each: 1) Forgetting Active/Inactive Status Updates Why? Small flags get ignored while focusing on major logic. Later, UI breaks. 2) Hardcoding Values Why? “Temporary” fixes that become permanent and cause issues in production. 3) Skipping Validation Why? Developers rush to make the feature work, validation comes last. 4) Ignoring Error Logs Why? Warnings look harmless — until they explode later. 5) Not Handling Null or Empty Data Why? Assumption that data will always exist (it never does). 6) No Comments in Code Why? “I’ll remember this later.” No one ever does. 7) Missing Migrations or DB Sync Why? Local works fine → live breaks. Classic mistake. 8) Poor Folder/Code Structure Why? Speed over maintainability during development. 9) Weak Error Handling (no try/catch) Why? Developers build for success paths, not failure. 10) Direct Push to Main Branch Why? “Quick fix” mindset. Leads to bigger problems. Developer Reminder Most dev mistakes aren’t technical they’re habit-based. Small improvements in workflow can save you hours of debugging and make you a stronger engineer.  ( 6 min )

When I first released Blazor Developer Tools, I had a simple goal: give Blazor developers the same component inspection experience that React developers have enjoyed for years. React DevTools lets you see your component tree, inspect props in real-time, and understand your application's structure. Blazor had nothing equivalent. The v0.9 release was a working MVP, but I always knew the architecture had fundamental limitations that would eventually hit a wall. After weeks of studying the Blazor source code and exploring dead ends, I've arrived at a completely new architecture for v0.10 that solves these problems at the framework level. This post explains what I learned, the options I considered, and why the new approach works. The v0.9 architecture was clever but ultimately a workaround. Her…  ( 13 min )

One of the most effective ways to learn functional programming is to convert the same features you've written in an OOP language to functional style. In this post, I won't go into theoretical details about functional programming. Instead, I'll implement and compare a concrete example to highlight the differences between thinking in OOP vs functional paradigms. For example, I have a ToyRobot object in Ruby. In OOP terms, this object has: 3 attributes: x, y, and direction Some actions: move, turn left, turn right Below is the code implemented in Ruby: class ToyRobot attr_reader :x, :y, :direction DIRECTIONS = [:north, :east, :south, :west] BOUNDS = {x: 0..10, y: 0..10} def initialize @x = 0 @y = 0 @direction = :north end def place(x, y, direction) if DIRECTI…  ( 8 min )

Simple RAG vs Agentic RAG -Why Your AI Needs to Think, Not Just Search Ever wondered why we need Agentic RAG when Simple RAG already retrieves answers? Let’s make it tangible with an analogy. HATEOAS (Hypermedia as the Engine of Application State) is a design principle for APIs: Instead of giving you a single static response, the API provides links or next actions to explore. This allows clients to navigate intelligently and discover related resources. We can use this idea to understand RAG: Simple RAG = A single REST call You query /recipe/chocolate-cake → you get one recipe. Fast, straightforward, but limited—you only see what’s returned. Agentic RAG ≈ HATEOAS-inspired exploration You query /recipe/chocolate-cake → the system returns the recipe and dynamically decides what else to fet…  ( 7 min )

C++ is more than a programming language — it’s the engine behind some of the world’s fastest databases, biggest games, most powerful operating systems, and mission-critical systems that cannot fail. Even after 40 years, C++ is not only alive — it’s evolving, faster than ever, and powering everything from AAA game engines to financial trading systems to space tech. In this article, I’m giving you a full, modern, developer-friendly C++ guide, including: ✅ Why C++ still matters Let’s dive in. 👇 Here’s the truth no one can ignore: Speed close to raw machine code Full control over memory and hardware Zero-overhead abstractions Cross-platform power Predictable performance Massive ecosystem (Boost, STL, game engines, compilers) Unreal Engine / Game Engines Google Chrome MySQL, MongoDB, PostgreSQ…  ( 9 min )

Introduction In today’s fast-paced innovation landscape, identifying relevant prior art quickly and accurately is a critical task. Patent attorneys, examiners, R&D managers, and innovation teams need tools that help streamline searches without sacrificing defensibility. Traditional keyword searches alone are often insufficient for uncovering subtle similarities across patents and non-patent literature (NPL). Enter the Google Patents prior art finder, an AI-driven tool designed to identify semantically related patents and documents across multiple indexes, including Google Patents, Scholar, Books, and the broader web. For professionals involved in novelty assessment, invalidity research, competitive intelligence, and freedom-to-operate (FTO) studies, understanding how to use this tool e…  ( 10 min )

How to Use GVM (Go Version Manager) GVM (Go Version Manager) is a tool that allows developers to easily install, manage, and switch between multiple versions of the Go programming language on a single system. It simplifies handling different Go versions for different projects without conflicts. To install GVM on your system, follow these steps: First, install the required dependencies: sudo apt-get install curl git mercurial make binutils bison gcc build-essential Next, install GVM using the official installer script: bash < <(curl -s -S -L https://raw.githubusercontent.com/moovweb/gvm/master/binscripts/gvm-installer) If you use zsh instead of bash, replace bash with zsh in the command above. After installation, restart your shell or source your profile to load GVM commands…  ( 7 min )

Advertising is Evolving: Here’s Where It’s Heading in the AI Era As developers, we’ve witnessed a seismic shift in the landscape of application development, particularly with the rise of AI-powered applications. However, one pressing challenge looms over this innovative wave: monetization. Traditional models—like subscriptions and paywalls—often disrupt user experience and limit growth. Enter Monetzly, the first dual-earning platform designed specifically for AI conversations, offering a fresh perspective on monetization in this new era. Imagine a world where your AI application not only engages users through meaningful conversations but also generates revenue without compromising that experience. Monetzly makes this a reality by enabling developers to monetize their apps while hosting r…  ( 7 min )

1. Introducción ¿Qué problema resuelven las SCPs? Las SCPs, a diferencia de los permisos de IAM, no otorgan permisos, sino que los restringen. Popularmente llamados "guardrails" o "barandillas", son una herramienta clave para la gobernanza de AWS, así como también para fijar los lineamientos de seguridad y cumplimiento de la empresa. Antes de proseguir debemos entender unos conceptos previos: Es un tipo de política de IAM que permite otorgar permisos a los usuarios y roles de AWS. AWS Organizations es un servicio que permite administrar y gestionar de forma centralizada múltiples cuentas de AWS. Con Organizations puedes: Crear y gestionar cuentas de AWS (Account Management) Centralizar los costos de las cuentas de AWS (Billing) Gestionar los permisos de las cuentas de AWS junt…  ( 14 min )

A post by ADITYA1000  ( 6 min )

If you have subscribed to my newsletter, you may know that my previous post explained the basics of what Nano Banana Pro can do and shared a number of mind-blowing use cases. It went viral (and even ranked on Google) because people are tired of hearing "it can make a picture of a cat". Later, I wrote a post explaining how Nano Banana can specifically help if you are a designer, a teacher, or a founder, and I shared practical workflows for each. Seeing the hype around Nano Banana Pro, I spent another 50+ hours going deeper and found 7 advanced, profession-specific use cases that actually justify the "Pro" in the name. And that's what I'm going to share with you today. Note: If you enjoy reading this type of practical and informative content, and want to get my best AI insights straight to y…  ( 12 min )

Developers love to pretend their Dockerfiles are perfect until a build takes eight minutes and the image balloons bigger than a AAA game update. Most of the time, the cause is embarrassingly simple stuff: missing version pins, unnecessary layers, or copying half the universe into the image. Example mistakes I keep seeing: "RUN apt-get install python No version pin. Enjoy the surprise upgrades later. COPY . . Congrats, you just shoved your entire repo and node_modules into the image because why not. RUN pip install --upgrade pip RUN pip install -r requirements.txt Two separate layers doing what one should handle. I’m exploring a small, focused tool that analyzes Dockerfiles and built images to catch these issues quickly. No AI circus, just rule checks and clear suggestions. I’m curious how common this pain actually is. Feel free to comment your thoughts or examples of Dockerfile mistakes you’ve faced  ( 6 min )

The problem Current platforms have no answer. Blue checks can be bought. "Real name" policies are theater. Meanwhile, journalists get murdered for telling the truth. Creators get deplatformed overnight. Everyone self-censors. What I'm building: A ZK identity layer for Nostr that lets you: Prove you're human without revealing who Anonymous but accountable. Trust without identity. Vision locked What I need Are down to go from 0 to 1 Not promising salaries. Promising the chance to build infrastructure for human freedom in the AI era. DM me on Nostr: ryan Or comment here. Let's build.  ( 6 min )

Have you ever wished you had a code review assistant of your own that could instantly give feedback on each new Pull Request (PR)? Manual code reviews are a necessary part of the development process, but they are expensive, slow, and inconsistent. As of writing this article, tools like GitHub Copilot's Code Review feature are premium, requiring subscriptions: Copilot Pro: ($10 USD/month or $100/year) Copilot Pro+: ($39 USD/month or $390/year) Can we achieve this within a reduced budget? YES. This article is designed to help you build your own persistent, automated AI Code Review Assistant hosted for free (or near-free) using a powerful, controlled workflow. Role in the System Why We Use It n8n Workflow Creation An AI workflow automation tool that connects GitHub to OpenAI, manages …  ( 9 min )

📚 Tech Acronyms Reference Quick reference for acronyms used in this article: AI - Artificial Intelligence ALiBi - Attention with Linear Biases API - Application Programming Interface BERT - Bidirectional Encoder Representations from Transformers GPU - Graphics Processing Unit GPT - Generative Pre-trained Transformer LLM - Large Language Model QKV - Query, Key, Value RAM - Random Access Memory RoPE - Rotary Positional Embeddings ROI - Return on Investment Technical Terms: Context Window - Maximum number of tokens a model can process in one request Positional Encoding - Method to tell the model which token is in which position Sinusoidal - Using sine and cosine wave functions Extrapolation - Ability to handle sequences longer than training length Sparse Attention - Attending to only a sub…  ( 17 min )

This is Day 2 of the Building a SaaS Solo - Design, Implementation, and Operations Advent Calendar 2025. Yesterday's article covered "How to Start Indie Development." Today, I'll dive deeper into tech selection, which is crucial for AI-driven development. It's a development style that leverages AI coding assistants like Claude Code, Codex, or Cursor. Tell the AI "implement this feature" and it generates code. When you get an error, say "fix this error" and it suggests solutions. To maximize development efficiency with this style, it's important to choose tech stacks that AI can understand well. There's a great document called "Indie Development Complete Guide" on izanami, a posting platform for indie developers, which summarizes tech selection resources and the overall picture of indie dev…  ( 8 min )

Flat designs can sometimes feel lifeless. That’s where CSS shadows and filters come in — simple yet powerful ways to introduce depth, realism, and visual polish into your UI. When used thoughtfully, they make elements pop, images look cinematic, and interfaces more engaging. In this post, let’s explore the world of box shadows, text shadows, and filters, with examples and best practices. box-shadow) The box-shadow property is one of the most widely used styling techniques in modern UI design. css box-shadow: offset-x offset-y blur-radius spread-radius color; css .card { box-shadow: 0 8px 16px rgba(0, 0, 0, 0.2); } offset-x & offset-y → position of the shadow blur-radius → softness of the shadow edges spread-radius → whether the shadow grows or shrinks Color → can be solid or transpar…  ( 8 min )

Tour: a shadcn/ui component that handles onboarding flows in React/Next.js applications. Key features: 🎯 Target elements with data attributes 🔄 Link steps across routes 📍 Control popover positioning ⚙️ Customize styling per step 🎛️ Manage tours through React context Installed through the shadcn CLI. Matches your existing design system without additional configuration. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

How I’d Build a One-Person AI Company in 2025 Jaideep Parashar ・ Dec 2 #webdev #ai #startup #design  ( 7 min )

The changes explained in this post can be found in the Kilo-go Github repository, in the multilingual branch. At the moment, we have syntax highlighting but only for Go, and we want our editor to be able to highlight multiple languages. What do we want to achieve: Highlight multiple languages Multiple language support Add new languages without editing the code First we will be moving the syntax struct to its own package so we have the methods we will be creating in it File: sytnax/syntax.go package syntax import "github.com/alcb1310/kilo-go/utils" var GO_HL_EXTENSIONS = []string{".go"} var GO_HL_KEYWORDS = []string{"package", "import", "func", "type", "var", "const", "if", "else", "switch", "case", "default", "for", "range", "goto", "continue", "select", "return", "break", } var GO…  ( 9 min )

Ask any adult who they are, and chances are their first answer will be their profession. "I'm a doctor." "I'm a programmer." "I'm an entrepreneur." Not "I'm a father," not "I'm someone who loves mountains," not "I'm someone searching for meaning." Work. Job title. Career. This isn't accidental. The average person spends about 90,000 hours at work over their lifetime—more than a third of all waking hours. More than with family. More than on hobbies, travel, and rest combined. We don't just work—we live at work. And it would be naive to think such immersion leaves no trace. Career teaches us to handle pressure and forms habits of avoiding conflict. It gives us confidence—and plants the seeds of impostor syndrome. It opens doors to new social circles—and cuts us off from old friends. It provi…  ( 14 min )

This article is a machine translation of the contents of the following URL, which I wrote in Japanese: https://qiita.com/Nana_777/items/9f13dc07eb8075da0bde This post is the third in the AWS Community Builders Advent Calendar 2025. ↓ [AWS Blog] Simplify IAM Policy Creation with IAM Policy Autopilot, a New Open-Source MCP Server for Builders https://aws.amazon.com/jp/blogs/aws/simplify-iam-policy-creation-with-iam-policy-autopilot-a-new-open-source-mcp-server-for-builders/ ↓ Top Announcements of AWS re:Invent 2025 https://aws.amazon.com/jp/blogs/aws/top-announcements-of-aws-reinvent-2025/ ↓ See the AWS Community Builders Advent Calendar 2025 here. (Japanese) https://qiita.com/advent-calendar/2025/aws-community-builders ↓ Previous Infrastructure Composer Article https://dev.to/aws-builders/a…  ( 7 min )

Quick Demo Introduction There have been an increasing variety of coding agents recently. Each one getting more integrated and comprehensive than the last. I've been lucky enough to have been able to try a couple of these not only on my own free time, but as part of an implementation task at my work to integrate these agents into some of the development workflows. I remember trying CrewAI, a multi-agent AI system, and trying to hack together our own coding agent. It did well enough... but it's not what CrewAI was meant for. Then Codex came along and did what our hacky system did way better and more precisely with fewer errors. The learning experience was valuable nonetheless. Because that's what it was meant for. It reads your codebase and prepares itself with the right con…  ( 16 min )

Chip Design Breakthrough: Predicting Performance Before Layout Tired of lengthy design cycles and performance surprises late in the game? Imagine knowing your chip's power consumption and speed before committing to the physical layout. That's the promise of a new machine learning approach that's revolutionizing how we design integrated circuits. The core concept is to build a predictive model that learns from the early stages of design, specifically the netlist. This model is then fine-tuned to estimate parasitic effects – the unwanted capacitances and resistances that arise from the physical layout – and predict final performance metrics like timing and power. Think of it like predicting the taste of a cake based on the recipe (netlist) while accounting for how your oven (layout tools) …  ( 7 min )

A secret is any piece of sensitive information that must be protected from unauthorized access. Examples: API keys Access tokens Database passwords Private keys (.pem) Confluent Cloud credentials Terraform backend credentials OAuth tokens SSH keys Goal: Keep secrets encrypted at rest, encrypted in transit, and never stored in plaintext (repo, logs, artifacts). 2. WHY SECRETS MANAGEMENT IS CRITICAL A senior DevOps engineer must prevent: Credential leaks Unauthorized access Accidental commits to Git Hardcoding in Terraform, Kubernetes, Docker, or CI/CD Secrets leaks cause: Environment compromise Data breaches Unauthorized AWS usage costing thousands Repository takeovers This is why we use secure secret stores, not files. 3. SECRET STORAGE OPTIONS DevOps MUST know There are 4 main secret …  ( 11 min )

Last Tuesday, a founder asked me: "Should I build a mobile app or a web app first?" I asked her three questions: Where are your users when they need your product most? Can they accomplish the core task on a laptop? Do you have 16 weeks or 8 weeks to validate your idea? She went quiet. Then: "I haven't thought about any of that." Most founders haven't. They just know they need an app—capital A, as if "app" only means one thing. Let's fix that, because this decision will either accelerate your startup or drain six months before you realize you chose wrong. Here's what nobody tells you: The "right" platform isn't about what's trendy or what your competitor built. It's about where your specific users need to solve their specific problem. A meditation app that expects users to sit at their desk…  ( 13 min )

The other day, I released a C# library called Linqraft! In this article, I'd like to introduce it. C# is a wonderful language. With powerful type safety, a rich standard library, and the ability to handle everything from GUI app development to web development, I think it's an excellent language for almost any purpose. However, there's something about C# that has been frustrating me on a daily basis. That is: "Defining classes is tedious!" and "Writing Select queries is tedious!" Since C# is a statically-typed language, you basically have to define all the classes you want to use. While this is unavoidable to some extent, having to define derived classes every time is extremely tedious. DTO (Data Transfer Object) every time, resulting in writing similar class definitions over and over agai…  ( 13 min )

The Problem Every Developer Knows Too Well You've been there. It's 2 AM, and you're staring at a wall of ESLint errors. Missing key props in React lists. Hydration mismatches because someone used localStorage without a server-side guard. Accessibility warnings everywhere. ESLint tells you what's wrong. But you still have to fix it yourself. The cost? Hours of manual fixes. Delayed releases. Production bugs that could have been prevented. What if there was a tool that didn't just identify problems, but actually fixed them? NeuroLint is a deterministic code transformation engine that automatically fixes over 50 common issues in React, Next.js, and TypeScript projects. The key difference? No AI. No guessing. No hallucinations. While AI coding tools can produce unpredictable results, NeuroLi…  ( 8 min )

I wanted something to work on over the weekend and wanted to dive into Web3 and also do stuff involving QR code generation (not really sure why just figured it might be an untapped market). After doing some looking online and asking ChatGPT what was needed in the world of Web3 it came up with a QR code based verification system for blockchain items and content. I spent some time researching the concept then started building with Next.js. The photos you see are the result of a few days of work (the back end and logic was 90% done by me with 10% Claude debugging. The design was all AI as I have the artistic talent of a cheeseburger). This is also working using the testnet for now as I do not want to lose funds testing. So here is how it works currently: Step 1: You sign in with you wallet (this is not stored anywhere and you will have to sign in each time) To validate, simply point your phone camera at the QR code and scan it. This will open up the validation page and show you if the QR code is valid or not. It will also show how many times the code has been scanned and the Etherscan link Why is this necessary? Traditional QR codes can be easily copied or faked. If someone counterfeits your product, they can just copy the QR code. There's no way to prove which one is authentic. ProofQR provides a way to make sure your data is secure and protected on the ETH blockchain. What I need from you is feedback. I want ideas on how to make this better and potential additions to add. Any and all feedback is wanted. Thank you for viewing my post. Stay tuned for future updates!  ( 7 min )

The other day, I released a C# library called Linqraft! In this article, I'd like to introduce it. C# is a wonderful language. With powerful type safety, a rich standard library, and the ability to handle everything from GUI app development to web development, I think it's an excellent language for almost any purpose. However, there's something about C# that has been frustrating me on a daily basis. That is: "Defining classes is tedious!" and "Writing Select queries is tedious!" Since C# is a statically-typed language, you basically have to define all the classes you want to use. While this is unavoidable to some extent, having to define derived classes every time is extremely tedious. DTO (Data Transfer Object) every time, resulting in writing similar class definitions over and over agai…  ( 13 min )

SwiftUI makes it easy to build UI — but building reusable components that look consistent across your entire app is a different challenge. As apps grow, UI duplication becomes a real problem: repeated button styles inconsistent card shapes duplicated text modifiers copy-paste shadows multiple versions of the same layout A component library solves all of this. Today you’ll learn how to build a modern, scalable, Apple-style SwiftUI Component Library that includes: buttons cards text fields floating panels chips design tokens (colors, radii, shadows) reusable modifiers consistent styling This is the exact structure I use in real production apps. Let’s build it. 🚀 Design Folder Design/ ├── Colors.swift ├── Radii.swift ├── Shadows.swift └── Typography.swift This gives yo…  ( 8 min )

Introduction: The Moment You Realize You Want “More” Maybe it happened during a late-night coding session. Whatever the spark was, you’re here because you want to become a part-time freelance developer—without walking away from your full-time job. Good news: thousands of developers have done it successfully, and you can too. You just need a simple blueprint. Let’s build it. Step 1 — Clarify Your “Why” and Choose Your Path Before you open Upwork or polish your GitHub, you need clarity. Freelancing without direction is like coding without requirements—it leads to chaos. Know Why You Want to Freelance Your “why” drives your decisions. Common reasons include: Extra income Building skills you don’t use at work Creating a transition path to full-time freelancing Expanding your professional netwo…  ( 9 min )

The other day, I released a C# library called Linqraft! In this article, I'd like to introduce it. C# is a wonderful language. With powerful type safety, a rich standard library, and the ability to handle everything from GUI app development to web development, I think it's an excellent language for almost any purpose. However, there's something about C# that has been frustrating me on a daily basis. That is: "Defining classes is tedious!" and "Writing Select queries is tedious!" Since C# is a statically-typed language, you basically have to define all the classes you want to use. While this is unavoidable to some extent, having to define derived classes every time is extremely tedious. DTO (Data Transfer Object) every time, resulting in writing similar class definitions over and over agai…  ( 13 min )

1️⃣ *Why Terraform? * Terraform is used to automate cloud infrastructure so humans don’t manually create: VPCs Subnets Security Groups ECS clusters Task definitions Load balancers IAM roles RDS S3 DynamoDB Secrets ECR registries Route53 CloudWatch alarms In big companies: Without Terraform Engineers click around the console No history No review/tracking Accidental misconfiguration Hard to reproduce environments Hard to recover after failure Hard to scale Impossible to maintain dozens of environments With Terraform Everything is code The entire infrastructure is repeatable You can recreate the entire system from scratch Teams use Git history, PR reviews, CI/CD pipelines One command updates all cloud resources correctly Your project has: 7 microservices (Python) ECS cluster ALB Cou…  ( 10 min )

NestJS is a progressive Node.js framework for building efficient and reliable server-side applications. It uses TypeScript by default and encourages clean, modular code with concepts including controllers, services, and dependency injection. We just ...  ( 3 min )

Harvard University creates amazing beginner computer science courses. We just released Harvard CS50’s introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. ...  ( 3 min )

The freeCodeCamp community just published our new Responsive Web Design certification. You can now sit for the exam to earn the free verified certification, which you can add to your résumé, CV, or LinkedIn profile. Each certification is filled with ...  ( 9 min )

A 6% rally in bitcoin helped push IBIT ahead of major funds like VOO, but crypto miners including IREN and CIFR posted steep losses.  ( 32 min )

Network reset complete: leverage flushed, LTHs accumulating and price back above fair value.  ( 32 min )

The DeFi lender's native token broke above key resistance level, eyeing $190 as the next target level.  ( 32 min )

MSCI’s proposed reclassification and potential index exclusion of Digital Asset Treasury (DAT) companies now looms over the market as a major structural overhang, says Dr. Avtar Sehra, founder and CEO of STBL. This helps explain the lack of a sustained recovery in crypto prices since the October 10th crash.  ( 43 min )

The pivot to AI comes with risks, including heavy borrowing and concerns about sustainability, with potential shortfalls if demand for AI slows.  ( 33 min )

The collapse marks yet another disappointing Trump family crypto-related investment.  ( 32 min )

The spread between BTC and S&P 500 implied volatility indices is widening again.  ( 32 min )

Bitcoin miners have been among those riding the AI boom, with IREN and Cipher Mining up over 300% in 2025.  ( 34 min )

Bernstein kept its Street-high $510 price target on Coinbase, citing strong fundamentals and product expansion.  ( 33 min )

The defendants were found to have used fake companies and cryptocurrency transactions to conceal the origin of the illicit funds.  ( 32 min )

The token outpaced broader crypto markets as volume spiked 34% above weekly averages.  ( 32 min )

The company also plans to sell shares to fund the repurchase of existing debt.  ( 32 min )

Solana exchange-traded funds debuted on Oct. 28 and performed flawlessly with inflows 21 consecutive days until the day before Thanksgiving.  ( 32 min )

The exchange has already teamed up with the Switzerland-based firm for its tokenized equity offering, xStocks.  ( 31 min )

Helping the mood in crypto were moves by institutional giants Vanguard and Bank of America to open up digital assets to their clients.  ( 33 min )

Kalshi secures a massive funding boost led by Paradigm, widening its lead over Polymarket as trading volumes surge and both platforms pursue fresh capital.  ( 31 min )

The debut marks the first U.S. ETF tied to Chainlink, which secures tens of billions of dollars in onchain value across DeFi and gaming.  ( 32 min )

The group of 10 banks plans to introduce its euro stablecoin next year under a new Dutch entity named Qivalis.  ( 33 min )

Cronos (CRO) was also a top performer, up 7.6% from Monday.  ( 29 min )

The news comes just hours after longtime crypto holdout, asset management giant Vanguard, said it would allow its clientele access to digital asset ETFs.  ( 32 min )

There comes a point when long-standing detractors become so vocal, their tone shifting from criticism to arrogance, that it often reflects conditions that are consistent with a bottom.  ( 32 min )

Cocoon lets GPU owners rent out computing power for AI tasks and receive TON tokens as compensation, with Telegram as the first user.  ( 33 min )

The gains were accompanied by a surge in trading volume signaling potential institutional positioning.  ( 32 min )

Your day-ahead look for Dec. 2, 2025  ( 39 min )

President Karol Narwocki was concerned that the Cryptoasset Market Act would allow the government to disable crypto companies websites "with a single click."  ( 32 min )

Crypto markets failed to bounce on Tuesday, with bitcoin retracing last week’s gains and altcoins extending losses.  ( 34 min )

Although the acquisition of Innovator Capital Management does not directly mention crypto, it does inherently imply that Goldman Sachs is expanding into the digital assets arena.  ( 34 min )

Trading volume in Strategy shares surged to 42.9 million, the most since last December, as the price fell 3.25%.  ( 31 min )

Models tested by MATS and the Anthropic Fellows program generated turnkey exploit scripts and identified fresh vulnerabilities, suggesting automated exploitation is becoming technically and economically viable.  ( 32 min )

The new non-custodial platform brings stablecoin swaps and global fiat off-ramps into one place, aiming to make the process more seamless for users.  ( 32 min )

XRP and BTC trade close to make-or-break levels while Nasdaq's November price action raises pullback risks.  ( 32 min )